by com.apievangelist
Sixteen years of API research as MCP tools — stories, areas, governance blocks & services
https://mcp.apievangelist.com/mcpok 16 min ago
Git hosting, repos, issues and PRs.
Sixteen years of API research as MCP tools — stories, areas, governance blocks & services
Dependency risk + calibrated, publicly scored forecasts on OSS packages. Docs: anteproof.com/docs
22 pay-per-call developer, security, network and data utilities using x402 on Base.
Agent-callable B2B SaaS directory: capability-structured, continuously verified listings.
Design review for UI code: 291 rules, scored 0-100 with fixes and git-applyable patches.
Search a nightly-refreshed directory of MCP servers by keyword, category or topic.
Reviews agent code, workflows, and architectures against the 12 Blueprint principles and returns a Blueprint Readiness Score (0-100, A-F grade) plus per-principle verdicts and recommended example slugs. Persists per-repository history so subsequent runs can focus on what regressed instead of re-fla…
Validate, build, and publish the resume you keep as YAML in your own GitHub repository.
Ask questions about any public GitHub repository through DeepWiki.
Governed AI actions with signed, verifiable receipts: free keyless reads, human-approved writes.
Repositories, issues, pull requests and code search on GitHub.
GitLab MCP server for projects, merge requests, issues, pipelines, wiki, releases, and more
The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
MetaHarness — mint a custom AI agent harness from any repo. Browser Studio + `npx metaharness` CLI. Runs on Claude Code, Codex, pi.dev, Hermes, OpenClaw, RVM, Prime Agent.
A secure and scalable Git MCP server enabling AI agents to perform comprehensive Git version control operations via STDIO and Streamable HTTP.
Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.
Static analysis scanner for MCP server code and multi-tenant SaaS applications. 57 deterministic rules covering tenant isolation, tool visibility, cache key scoping, RLS, IDOR, and credential vault isolation. MCP server for AI agent integration.
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MC
Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI provider reads, so one source of truth works across 14 named provider integrations plus a generic fallback adapter. Optional u
Agentic Version Control System — an AI-native VCS where intent, session, operation, evidence and decision are first-class objects and code is a materialized projection of an operation graph.