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openFunctions MCP Server

Tom-R-Main/openFunctions

Score: 54.2 Rank #28 Agent Framework
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Lightweight TypeScript framework for building agentic tools.

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Overview

Tom-R-Main/openFunctions is a TypeScript agent tool licensed under MIT. Lightweight TypeScript framework for building agentic tools. Topics: mcp, agent-framework, ai-tools, framework, mcp-tools.

Ranked #28 out of 116 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT
mcpagent-frameworkai-toolsframeworkmcp-tools

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"agent tool"

From the README

<p align="center">
  
</p>

<p align="center">
  <strong>Build AI tools first. Compose agents when you need them.</strong>
</p>

<p align="center">
  <a href="#quick-start">Quick Start</a> &middot;
  <a href="#the-mental-model">Mental Model</a> &middot;
  <a href="#choose-the-right-primitive">Choose a Primitive</a> &middot;
  <a href="#capability-ladder">Capability Ladder</a> &middot;
  <a href="#providers">Providers</a> &middot;
  <a href="#examples">Examples</a> &middot;
  <a href="#docs">Docs</a>
</p>

---

openFunctions is an MIT-licensed TypeScript framework for building AI-callable tools and exposing them through [MCP](https://modelcontextprotocol.io), chat adapters, workflows, and agents. Its core runtime is simple:

`ToolDefinition -> ToolRegistry -> AIAdapter`

Everything else composes on top of that:

- `workflows` are deterministic orchestration around tools
- `agents` are LLM loops over a filtered registry
- `structured output` is a synthetic tool pattern
- `memory` and `ra
Read full README on GitHub →

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