agent-toolkit — MCP Server by datacommonsorg

Last updated: 2026-06-11 · Indexed by AgentSkillsHub · Auto-synced every 8h

About agent-toolkit

Data Commons Agent Toolkit This repo contains MCP tools and sample agents for fetching public information from Data Commons. User-facing documentation is at . MCP Server Data Commons MCP Server package PyPI: datacommons-mcp Sample agents Data Commons sample agents

Quick Facts

Stars	137
Forks	34
Language	Python
Category	MCP Server
License	Apache-2.0
Quality Score	38.2/100
Open Issues	25
Last Updated	2026-06-11
Created	2025-06-26
Platforms	mcp, python
Est. Tokens	~73k

Compatible Skills

These tools work well together with agent-toolkit for enhanced workflows:

trustgraph — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
SciToolAgent — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
investor-agent — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
agent-second-brain — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
CntxtPY — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is agent-toolkit?

agent-toolkit is Tools and agents for interacting with the Data Commons Knowledge Graph using the Model Context Protocol (MCP).. It is categorized as a MCP Server with 137 GitHub stars.

What programming language is agent-toolkit written in?

agent-toolkit is primarily written in Python.

How do I install or use agent-toolkit?

You can find installation instructions and usage details in the agent-toolkit GitHub repository at github.com/datacommonsorg/agent-toolkit. The project has 137 stars and 34 forks, indicating an active community.

What license does agent-toolkit use?

agent-toolkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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