pulsemcp verified Safe content atomic mcp-remote

VecGrep

Provides semantic code search by parsing source files with tree-sitter into functions, classes, and methods, then encoding them with vector embeddings stored in LanceDB. Supports local ONNX embeddings with ~100ms startup as well as cloud providers (OpenAI, Voyage AI, Google Gemini) via bring-your-own-key configuration. Returns the top semantically relevant code chunks instead of entire files, achieving significant token reduction for codebase queries. Supports incremental re-indexing, 10+ programming languages, and approximate nearest neighbor search via IVF-PQ indexing.

Cognium trust score
89%
Tier
Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
ai-ml
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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Use via MCP

MCP

Resolve VecGrep from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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