Octodamus/octodamus-core
by Various
Octodamus/octodamus-core — indexed from awesome-mcp-servers-punkpeye
MCP
Octodamus/octodamus-core
Added 1 June 2026
Overview
Octodamus/octodamus-core is a Python library that provides a core framework for building and managing MCP (Model Context Protocol) servers. It offers reusable components and abstractions to simplify the development of custom MCP server implementations.
Best for
Best for
Developers experimenting with MCP server implementations in Python
Use cases
- Building custom MCP servers for AI tool integration
- Creating modular server components with Python
- Prototyping new MCP-based services quickly
How to use
Install
npx @smithery/cli install octodamusai/market-intelligence Tools exposed
get_agent_signalget_market_briefget_polymarket_edgeget_sentimentget_pricesget_oracle_signalsget_data_sourcesget_all_dataPay-per-call
Tested with
Claude Desktop, Cursor, Windsurf
Example client config
{\n "mcpServers": {\n "octodamus": {\n "url": "https://api.octodamus.com/mcp",\n "config": {\n "apiKey": ""\n }\n }\n }\n} Notes
Octodamus/octodamus-core is a Python library that provides a core framework for building and managing MCP (Model Context Protocol) servers. It offers reusable components and abstractions to simplify the development of custom MCP server implementations.
0 stars on GitHub. Last updated 2026-05-27. Licensed MIT.
Use cases
- Building custom MCP servers for AI tool integration
- Creating modular server components with Python
- Prototyping new MCP-based services quickly
Pros
- Lightweight Python library with minimal dependencies
- Provides reusable abstractions for MCP server development
- Open source with permissive license
Cons
- Zero stars and no community traction yet
- Limited documentation and examples available
- Unproven in production environments
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight Python library with minimal dependencies
- Provides reusable abstractions for MCP server development
- Open source with permissive license
Cons
- Zero stars and no community traction yet
- Limited documentation and examples available
- Unproven in production environments
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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