{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_9h54cuhfaszs","handle":"oi-ai-adoption","url":"https://wellknown.network/agents/oi-ai-adoption","links":{"self":"https://wellknown.network/agents/oi-ai-adoption/record.json","html":"https://wellknown.network/agents/oi-ai-adoption","markdown":"https://wellknown.network/agents/oi-ai-adoption/record.md","api":"https://wellknown.network/api/v1/agents/oi-ai-adoption","status":"https://wellknown.network/api/v1/agents/oi-ai-adoption/status","claim":"https://wellknown.network/agents/oi-ai-adoption/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/oi-ai-adoption/claim.json","badge":"https://wellknown.network/agents/oi-ai-adoption/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/oi-ai-adoption/history","tools":"https://wellknown.network/api/v1/agents/oi-ai-adoption/tools"},"ard":{"identifier":"urn:air:operative-intelligence.com:server:oi-ai-adoption","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"OI AI Adoption","summary":"Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT","description":"Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT","publisher":{"name":"com.operative-intelligence","url":null},"homepage":"https://operative-intelligence.com/en/ai-adoption-advisor/","repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":[],"pricing":null,"endpoints":[{"url":"https://operative-intelligence.com/ai-adoption","type":"mcp_streamable_http","auth":null,"probeable":true}],"skills":null,"tools":null,"extra":{"updatedAt":"2026-10-15T19:52:59.682121Z","publishedAt":"2026-10-15T19:52:59.682121Z","registryName":"com.operative-intelligence/ai-adoption"},"attribution":{"kind":"mcp_registry","name":"mcp_registry","summary":"mcp_registry","version":"mcp_registry","description":"mcp_registry","homepageUrl":"mcp_registry","publisherName":"mcp_registry"}},"derived":{"capabilities":[{"slug":"commerce.pricing","name":"Pricing & Quotes","confidence":0.525,"provenance":"derived"},{"slug":"knowledge.reasoning","name":"Reasoning & Planning","confidence":0.525,"provenance":"derived"}],"categories":["commerce","knowledge"],"language":"en"},"observed":{"status":"live","statusReason":"Responded 4h ago.","lastOkAt":"2026-10-23T21:26:22.402Z","lastProbedAt":"2026-10-23T21:26:22.402Z","statusComputedAt":"2026-10-23T21:28:33.680Z","reliability30d":{"probes":20,"successRate":1,"p50Ms":15,"basis":"service","measures":{"availability":"availability","latency":"response time","tools":"tool surface observed","summary":"Checks reached the service itself."},"checks":{"total":20,"ok":20,"authBoundaryOk":0,"serviceOk":20,"note":"Counted from the observation rows for the window, checks of the server only (HTTP, A2A card, MCP initialize). ok = authBoundaryOk + serviceOk. `probes` is the sum of daily rollups and includes registry checks, so it can differ from `total`."}},"latestObservations":[{"at":"2026-10-23T21:26:22.402Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":10,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-23T15:31:08.647Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":13,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-23T08:29:36.695Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":11,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-23T01:30:24.845Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":10,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-22T18:32:47.004Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":12,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-22T11:34:33.358Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":11,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-22T04:26:27.814Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":10,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-21T21:34:03.410Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":33,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-21T12:28:07.671Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":44,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-21T04:27:22.710Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":12,"error":null,"detail":{"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"toolCount":8,"toolsHash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","serverName":"oi-ai-adoption-check","capabilities":["tools","prompts"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}}],"tools":[{"name":"get_readiness_questions","description":"Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allo"},{"name":"assess_ai_readiness","description":"Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for e"},{"name":"estimate_ai_costs","description":"Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences "},{"name":"plan_ai_rollout","description":"Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern"},{"name":"adoption_list_process_types","description":"Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the "},{"name":"adoption_find_patterns","description":"Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches i"},{"name":"adoption_get_pattern","description":"Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with e"},{"name":"adoption_get_regulations","description":"Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it require"}],"package":null,"toolSurface":{"id":"ts_5f67xtvxbhwp","endpointId":"ep_ugkgsgn4dda2","hash":"9bc426daafd28ba70431008096ecd1c99236e5d36aa28db427e494ac6cde0c99","toolCount":8,"serverName":"oi-ai-adoption-check","serverVersion":"0.1.0","protocolVersion":"2025-06-18","firstSeenAt":"2026-10-18T09:30:04.521Z","lastSeenAt":"2026-10-23T21:26:22.411Z","observations":20,"toolNames":["get_readiness_questions","assess_ai_readiness","estimate_ai_costs","plan_ai_rollout","adoption_list_process_types","adoption_find_patterns","adoption_get_pattern","adoption_get_regulations"],"distinctSurfaces":1},"endpointFacts":[{"id":"ep_ugkgsgn4dda2","url":"https://operative-intelligence.com/ai-adoption","type":"mcp_streamable_http","factsCheckedAt":"2026-10-20T15:29:32.641Z","auth":{"observedAt":"2026-10-20T15:29:32.644Z","authRequired":false,"scheme":null,"resourceMetadata":null,"authorizationServer":null,"conformance":{"dpop":false,"rfc8414":false,"rfc9728":false,"pkceS256":false,"clientIdMetadataDocument":false,"dynamicClientRegistration":false}},"tls":{"observedAt":"2026-10-20T15:29:32.665Z","protocol":"TLSv1.3","chainValid":true,"chainError":null,"hostMatches":true,"subject":"operative-intelligence.com","issuer":{"commonName":"YE2","organization":"Let's Encrypt"},"validFrom":"2026-10-09T08:56:55.000Z","validTo":"2027-01-07T08:56:54.000Z","daysToExpiry":75,"sanCount":2,"fingerprint256":"04:0E:23:CA:1B:99:B3:15:E6:15:1E:64:41:61:74:7B:76:57:29:B6:FD:E4:E3:00:F0:72:CC:46:76:F8:E6:7D"}}]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"mcp_registry","key":"com.operative-intelligence/ai-adoption","url":"https://registry.modelcontextprotocol.io/v0/servers/com.operative-intelligence%2Fai-adoption","firstSeenAt":"2026-10-18T09:22:25.834Z","fetchedAt":"2026-10-22T00:23:15.884Z","normalizedAt":"2026-10-22T00:23:15.884Z"}]},"firstSeenAt":"2026-10-18T09:22:25.834Z","updatedAt":"2026-10-23T21:30:17.453Z"}