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Semantically search local Markdown context and inspect linked context status.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "core-context" yet — see the docs or source repo.
Use context_search to find local Markdown context related to "authentication flow design" and list the most relevant files.
A list of semantically relevant context files to quickly locate project notes or design docs.
Use context_read to open the most relevant context file from above and extract the key details about API limits.
The tool reads the target context and returns the key information related to API limits.
Call context_status to check whether the context server is available and whether linked context status is healthy.
Status information showing whether the server and linked context are ready for search and reading.
Developers or researchers can use it to semantically search relevant context across many Markdown notes, reducing manual document hunting.
When answers need to be grounded in existing local context, you can search for relevant files first and then read the specific content for more targeted responses.
In workflows that depend on extension context links, the status tool helps verify whether the service and link chain are working correctly.
It is a local MCP server for semantically searching Markdown context files and extension context links, with three tools: context_search, context_read, and context_status.
Based on the provided description, it supports searching context, reading context content, and checking context service or link status. For more detailed behavior, see the source repository.
The provided material does not include installation steps, runtime requirements, or key setup details. See the source repository for prerequisites.
Search codebases semantically with natural language and retrieve relevant context.
Turn local Markdown knowledge into searchable context for AI coding agents.
Build semantic indexes for files and repos so AI can retrieve meaning.
Read, search, and update codebase documentation context through MCP.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Search, retrieve, and manage documents from a Context11 knowledge base.