About OSS Neural Match

OSS Neural Match is a Model Context Protocol (MCP) server that gives Claude Code structured knowledge of 244 open-source tools — enabling intelligent stack recommendations, tradeoff analysis, and ecosystem navigation.

What it does

When you add OSS Neural Match to Claude Code, you unlock a curated database that Claude can query when you ask questions like "what's the best message queue for a Python microservice?" or "compare Prometheus vs Datadog for a 10-person startup."

Unlike generic web search, OSS Neural Match provides structured, consistent data across 244 tools with 51 fields each — RAM requirements, scaling patterns, ecosystem relationships, anti-patterns, and more.

Installation

One-line install

claude mcp add oss-neural-match npx oss-neural-match-mcp

That's it. No API keys, no configuration, no network requests at query time. Pure local JSON.

The data model

Each tool in the database has 51 structured fields:

name, slug, tagline

description

category + sub_category

language, framework

api_type, protocols

min_ram_mb, min_cpu_cores

scaling_pattern

data_model

deployment_methods

self_hostable, k8s_native

offline_capable

integrates_with

complements, similar_to

conflicts_with, replaces

sdk_languages

plugin_ecosystem

github_stars, contributors

commit_frequency

first_release_year

latest_version, backing_org

funding_model

docs_quality, maturity

complexity_level

team_size_fit

industry_verticals

performance_tier

vendor_lockin_risk

pricing_model

tags, problem_domains

use_cases_detailed

anti_patterns

stack_layer

Coverage

Tools

244

Contributing

OSS Neural Match is fully open source. To add or update a tool, open a pull request on GitHub and edit db.json. Follow the existing schema — all 51 fields should be populated.

View on GitHub →