Fusionpact Vectordb MCP server
io.github.atul-fusionpact/fusionpact-vectordb·v2.1.1Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.
0 stars64 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Fusionpact Vectordb tools (1)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
agent-1Search EHS incident reports by category and severity
Public scan report
scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it
- Code scan16 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 202 days ago4/15
- Maintainer identitynamespace and repository owner differ; GitHub account older than a year6/10
How Fusionpact Vectordb compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 72/100
- higher than 40% of 4,460 AI and agents servers
- Tools
- 1
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Downloads a week
- 64
- more than 51% of 1,538 AI and agents servers with a package
What its tools let an agent do: 1 read
Install Fusionpact Vectordb in Claude Code, Cursor or VS Code
Runs npx -y fusionpact on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add fusionpact-vectordb -- npx -y fusionpact
What the publisher says
From the Fusionpact Vectordb repository's README, as published. We do not edit it. Read it on GitHub
⚡ FusionPact
The Agent-Native Retrieval Engine
Hybrid Vector + Reasoning + Memory for AI Agents
Similarity ≠ Relevance. FusionPact is the first retrieval engine that combines HNSW vector search, reasoning-based tree retrieval, and agent memory in a single platform — purpose-built for AI agents and multi-agent systems.
Quickstart · Hybrid Retrieval · Agent Memory · Multi-Agent · MCP Server · Tree Index · RAG Pipeline · API Reference · Benchmarks · Contributing
Why FusionPact?
Traditional vector databases retrieve what's similar. But similar ≠ relevant. Ask a vector DB for "Q3 2024 revenue" and you might get Q2 or Q4 data — semantically similar, but the wrong answer.
FusionPact solves this by combining three retrieval paradigms:
Plus purpose-built agent memory, multi-agent orchestration, and MCP server — all zero-dependency, local-first, and free.
┌──────────────────────────────────────────────────────────┐
│ FusionPact Retrieval Engine │
│ │
│ ┌────────────┐ ┌─────────────┐ ┌────────────────┐ │
│ │ Vector │ │ Tree │ │ Keyword │ │
│ │ (HNSW) │ │ (Reasoning) │ │ (BM25) │ │
│ └─────┬──────┘ └──────┬──────┘ └───────┬────────┘ │
│ └────────────┬────┴─────────────────┘ │
│ ▼ │
│ Reciprocal Rank Fusion │
│ ▼ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ Agent Memory (Multi-Agent) │ │
│ │ Episodic │ Semantic │ Procedural │ Shared │ │
│ └──────────────────────────────────────────────────┘ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ MCP Server (Claude, Cursor, etc.) │ │
│ └──────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────┘⚡ Quickstart
# Install
npm install fusionpact
# Run the demo
npx fusionpact demo
# Start HTTP + MCP server
npx fusionpact serve --port 8080
# Start MCP server for Claude Desktop
npx fusionpact mcp10 Lines of Code
const { create } = require('fusionpact');
const fp = create({ embedder: 'ollama' }); // or 'mock' for zero-config
// Ingest a document — auto-chunks, embeds, indexes
await fp.rag.ingest('Your document text here...', { source: 'doc.pdf' });
// Hybrid search — vector + reasoning + keyword, fused automatically
const results = await fp.retriever.retrieve('What safety protocols exist?', {
collection: 'default',
strategy: 'hybrid'
});
// Or build LLM-ready context directly
const context = await fp.rag.buildContext('What safety protocols exist?');
console.log(context.prompt); // Ready to paste into any LLM🔀 Hybrid Retrieval Engine
The core differentiator: a single API that intelligently routes queries through multiple retrieval strategies and fuses results using Reciprocal Rank Fusion.
const { create } = require('fusionpact');Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Fusionpact Vectordb: common questions
- Is Fusionpact Vectordb MCP server safe?
- Mostly: it is graded B (72/100). Read the Fusionpact Vectordb safety report
- How do I install Fusionpact Vectordb?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Fusionpact Vectordb need an API key?
- No secret keys are declared. It reads 1 setting from the environment.
- Is Fusionpact Vectordb maintained?
- The last commit was 239 days ago (2026-03-10). The latest release is v2.1.1.
- What can I use instead of Fusionpact Vectordb?
- Servers from other publishers that do the same job: PDF MCP server, MCP AutoMem MCP server and Tw Legal Rag MCP server.
- How does Fusionpact Vectordb compare with other AI and agents MCP servers?
- safety score 72/100 (higher than 40% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Fusionpact Vectordb
Same job from other publishers: the closest match first, then the best rated.
- PDFAgentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.not reviewedEstablishedA
- MCP AutoMemGraph-vector memory for AI assistants using FalkorDB and Qdrantnot reviewedEstablishedC
Tw Legal RagCitation-guarded retrieval over 22M Taiwan court judgments and administrative interpretationsnot reviewedEstablishedA- Serena MCP: the IDE for your agentA powerful toolkit for coding, providing semantic retrieval and editing capabilities.not reviewedWidely usedC
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB