Mcp Factcheck
Fact-check MCP-related docs and implementations against the official MCP specification using semantic search and AI validation.
Overview
io.github.carlisia/mcp-factcheck is a MCP server for the Ship phase that validates content against the MCP specification using semantic search and AI.
What is this MCP server?
- Validates content against the MCP specification using semantic search plus AI
- Ships as OCI image ghcr.io/carlisia/mcp-factcheck:v1.0.0 with stdio transport
- Requires OPENAI_API_KEY for embeddings and validation passes
- Targets builders publishing MCP servers, skills, or documentation that must cite spec accurately
- GitHub source at carlisia/mcp-factcheck for self-hosted stdio MCP
- Registry version 1.0.0
- OCI package identifier ghcr.io/carlisia/mcp-factcheck:v1.0.0 with stdio transport
- Required environment variable OPENAI_API_KEY documented in server schema
Community signal: 3 GitHub stars.
What problem does it solve?
MCP READMEs and server.json drafts drift from the real specification, and manual spec reading is too slow before you ship.
Who is it for?
Solo builders publishing MCP servers or documentation who need a second pass against official MCP semantics before shipping.
Skip if: Teams seeking runtime penetration tests, or builders with zero OpenAI budget who only need informal linting.
What do I get? / Deliverables
After connecting the factcheck MCP with OpenAI configured, you get AI-backed checks that flag spec mismatches before publish or merge.
- AI-assisted validation reports comparing your content to MCP specification semantics
- Repeatable stdio MCP check usable in pre-merge or pre-launch agent sessions
- Lower risk of shipping incorrect transport, schema, or capability claims
Recommended MCP Servers
Journey fit
Ship is canonical because you run this before release or merge when correctness against the MCP spec matters more than initial coding speed. Review subphase fits a validator that audits content against specification norms rather than generating new product features.
How it compares
Spec-validation MCP tooling, not a hosted workflow platform MCP or a personal messaging integration.
Common Questions / FAQ
Who is io.github.carlisia/mcp-factcheck for?
Developers and technical writers shipping MCP servers or docs who want semantic, AI-assisted checks against the MCP specification.
When should I use io.github.carlisia/mcp-factcheck?
Use it in Ship review before tagging a release, merging protocol docs, or publishing catalog copy that cites MCP transports and schemas.
How do I add io.github.carlisia/mcp-factcheck to my agent?
Run stdio MCP from ghcr.io/carlisia/mcp-factcheck:v1.0.0, set OPENAI_API_KEY in the container environment, and register the server in Claude Code or Cursor.