Nerq found 1,421 MCP servers for rag & knowledge retrieval, ranked below by GitHub stars and weighted compliance score across 52 global AI jurisdictions. The top-ranked MCP server for rag & knowledge retrieval is enuno/unifi-mcp-server with 42 stars and a trust score of 75/100. MCP servers for building RAG pipelines: chunking, embedding, retrieval, and augmented generation.
1,421 servers in this category | Data from Nerq| # | Name | Stars | Trust | Author | License | Description |
|---|---|---|---|---|---|---|
| 1 | enuno/unifi-mcp-server | 42 | B 75 | enuno | Apache-2.0 | |
| 2 | kreuzberg-dev/kreuzberg | 6,387 | B 74 | kreuzberg-dev | MIT | |
| 3 | VectifyAI/pageindex-mcp | 218 | B 73 | VectifyAI | MIT | |
| 4 | chunkhound | 1,041 | B 71 | chunkhound | N/A | |
| 5 | io.github.VZezelin/signal-lab-apify-tools | 0 | B 71 | https://github.com/VZezelin/first | N/A | |
| 6 | nocturne_memory | 571 | B 70 | Dataojitori | N/A | |
| 7 | virtualization-mcp | 1 | B 70 | sandraschi | MIT | |
| 8 | softerist/heuristic-mcp | 10 | B 70 | softerist | MIT | |
| 9 | beelzebub | 1,833 | C 69 | mariocandela | N/A | |
| 10 | cz.cenaodhad/cenaodhad | 0 | B- 69 | https://cenaodhad.cz/mcp | N/A | |
| 11 | medha-mcp | 11 | C 68 | tejzpr | MPL-2.0 | |
| 12 | ApeRAG | 1,060 | C 68 | apecloud | N/A | |
| 13 | Coff0xc/AutoRedTeam-Orchestrator | 154 | C 68 | Coff0xc | NOASSERTION | |
| 14 | i3T4AN/Vector-Knowledge-Base | 21 | C 68 | i3T4AN | MIT | |
| 15 | mhalder/qdrant-mcp-server | 21 | C 68 | mhalder | MIT | |
| 16 | innomon/yzma-duckdb-rag | 3 | C 68 | innomon | MIT | |
| 17 | io.github.pipeworx-io/analyst-ratings | 0 | B- 68 | https://github.com/pipeworx-io/mcp-analyst-ratings | N/A | |
| 18 | io.github.kadopi/agent-card-health-check | 0 | B- 68 | https://github.com/kadopi/my-projects | N/A | |
| 19 | io.github.dornansgar390-hue/energy-oracle | 0 | B- 68 | https://github.com/dornansgar390-hue/energy-oracle-group | N/A | |
| 20 | cbcoutinho/nextcloud-mcp-server | 128 | C 67 | cbcoutinho | N/A |
MCP servers for building RAG pipelines: chunking, embedding, retrieval, and augmented generation. Nerq tracks 1,421 MCP servers in the rag & knowledge retrieval category, each assessed against 52 global AI regulations including the EU AI Act, US state AI laws (California SB53, Colorado SB205), UK AI Bill, and more. Compliance scores are weighted by jurisdiction penalty severity — jurisdictions with higher fines (like the EU AI Act at up to €35M) have more impact on the score than voluntary frameworks.
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