{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_cqvkjxbgj8u5","handle":"iflow-mcp-edwardchoh-apollo-io-mcp-server","url":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server","markdown":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/status","claim":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-edwardchoh-apollo-io-mcp-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-edwardchoh-apollo-io-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_edwardchoh-apollo-io-mcp-server","summary":"MCP server that exposes the Apollo.io API functionalities as tools","description":"# Apollo.io MCP Server\n\nThis project provides an MCP server that exposes the Apollo.io API functionalities as tools. It allows you to interact with the Apollo.io API using the Model Context Protocol (MCP).\n\n## Overview\n\nThe project consists of the following main components:\n\n- `apollo_client.py`: Defines the `ApolloClient` class, which is used to interact with the Apollo.io API. It includes methods for people enrichment, organization enrichment, people search, organization search, and organization job postings.\n- `server.py`: Defines the FastMCP server, which exposes the Apollo.io API functionalities as tools. It uses the `ApolloClient` class defined in `apollo_client.py` to interact with the API.\n- `apollo/`: Contains the data models for the Apollo.io API, such as `PeopleEnrichmentQuery`, `OrganizationEnrichmentQuery`, `PeopleSearchQuery`, `OrganizationSearchQuery`, and `OrganizationJobPostingsQuery`.\n\n## Functionalities\n\nThe following functionalities are exposed as MCP tools:\n\n-   `people_enrichment`: Use the People Enrichment endpoint to enrich data for 1 person.\n-   `organization_enrichment`: Use the Organization Enrichment endpoint to enrich data for 1 company.\n-   `people_search`: Use the People Search endpoint to find people.\n-   `organization_search`: Use the Organization Search endpoint to find organizations.\n-   `organization_job_postings`: Use the Organization Job Postings endpoint to find job postings for a specific organization.\n\n## Usage\n\nTo use this MCP server, you need to:\n\n1. Set the `APOLLO_IO_API_KEY` environment variable with your Apollo.io API key. Or create '.env' file in the project root with `APOLLO_IO_API_KEY`.\n2. Get dependencies: `uv sync`\n3. Run the `uv run mcp run server.py`\n\n## Data Models\n\nThe `apollo/` directory contains the data models for the Apollo.io API. These models are used to define the input and output of the MCP tools.\n\n- `apollo/people.py`: Defines the data models for the People Enrichment endpoint.\n- `apollo/organization.…","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_edwardchoh-apollo-io-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"research.people-companies","name":"People & Company Research","confidence":0.894,"provenance":"derived"}],"categories":["research"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_edwardchoh-apollo-io-mcp-server","registry":"pypi","observedAt":"2026-11-03T06:28:18.209Z","publishedAt":"2026-02-05T08:38:58.516480Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_edwardchoh-apollo-io-mcp-server","url":"https://pypi.org/project/iflow-mcp_edwardchoh-apollo-io-mcp-server/","firstSeenAt":"2026-09-09T18:22:07.462Z","fetchedAt":"2026-11-03T06:26:48.234Z","normalizedAt":"2026-11-03T06:26:48.234Z"}]},"firstSeenAt":"2026-09-09T18:22:07.462Z","updatedAt":"2026-11-03T06:28:18.209Z"}