mcp server
velocirag
Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
Description as published by the maintainer. Source
- version 0.7.4
- slowing
- retrieval
slowing — Most recent push to the repository was 2026-04-05. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 10 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-04-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.7.4 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-05 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-04-05 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Darwin RAG
— last commit 2026-07-30, shares onnx, rag
Local-first RAG engine with MCP server for AI agent integration.
-
SearchForge
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Free open-source web search and page reading for LLMs, AI agents, and RAG.
-
mcp-vl-msa-rs
— last commit 2026-06-15, shares bm25, rag, retrieval
Searchable agent memory: BM25 corpus recall, original-text injection, remember/forget capsules.
-
Baryon — Proton Mail via Bridge
— last commit 2026-08-06, shares local-ai
Read Proton Mail and save drafts through your local Proton Mail Bridge.
-
Airweave Search
— last commit 2026-06-05, shares rag, retrieval, retrieval-augmented-generation
MCP server for searching Airweave collections with natural language queries.
-
Connapse
— last commit 2026-07-21, shares embeddings, rag, retrieval-augmented-generation
Self-hosted knowledge backend for AI agents with hybrid search and MCP tools
-
hubmesh
— last commit 2026-08-05, shares knowledge-graph, rag, retrieval
Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
-
GrantAi Memory
— last commit 2026-03-16, shares rag, retrieval, vector-database
Persistent memory for AI agents. Infinite context with sub-millisecond recall.
-
io.github.annibale-x/webshift
— last commit 2026-05-09, shares bm25
Rust MCP server for denoised web search — fetch, clean, and rerank web content for AI agents.
-
io.github.cdeust/automatised-pipeline
— last commit 2026-08-04, shares bm25
Codebase intelligence MCP server — index any repo into a property graph; 26 tools for agents.
These share tags the maintainers applied themselves, such as onnx, rag, local-ai, retrieval-augmented-generation. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agentic-rag, ai-agents, bm25, cpu-inference, embeddings, faiss, knowledge-graph, llm, local-ai, mcp, mcp-server, model-context-protocol, onnx, python, rag, retrieval, retrieval-augmented-generation, semantic-search, vector-database, vector-search.
This record as data
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