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Fusionpact Vectordb MCP server

by atul-fusionpact·io.github.atul-fusionpact/fusionpact-vectordb·v2.1.1

Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.

B72/100grade B
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B72/100

full report

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0 stars64 downloads/wk

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Fusionpact Vectordb tools (1)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • agent-1

    Search 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

no findings
  • 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
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

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
Add to Cursor

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 mcp

10 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.

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