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Manage local semantic dataspaces, ingest documents, and run semantic search via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "locus-mcp" yet — see the docs or source repo.
Use locus-mcp to create a local dataspace named research-notes, then return the available management endpoints and the next steps for document ingestion.
Confirmation of the created dataspace plus guidance for ingestion and search operations.
Use locus-mcp to ingest PDF and Markdown files from /docs/project into the project-knowledge dataspace, then summarize the ingestion results and any failure reasons.
An ingestion report with success counts, failed items, and possible remediation suggestions.
Use locus-mcp to search the team-wiki dataspace for “reasons for quarterly OKR adjustments,” and return the top 5 most relevant results with brief summaries.
A relevance-ranked result list, each with source information and a short summary.
Securely let AI read, search, and edit local files with local LLMs.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Let AI read, write, search files, and run local commands.
Route LLM requests across providers and orchestrate MCP tools with local privacy.
Search local markdown docs and meeting transcripts semantically without cloud or API keys.
Search external information through an MCP server for LLM-powered agents.