hijaz/postmancer
by Various
An experimental MCP server Rest Client intended to be a replacement of tools postman & insomnia
MCP
hijaz/postmancer
Added 1 June 2026
Overview
An open-source experimental REST client built as an MCP server using TypeScript. It aims to provide an alternative to Postman and Insomnia by offering API testing capabilities within the Model Context Protocol framework. The project is in early development with limited adoption.
Best for
Best for
Developers experimenting with MCP-based API testing and AI integration
Use cases
- Testing REST APIs via MCP-compatible assistants
- Integrating API workflows with AI agents
- Replacing traditional GUI REST clients with a server-based approach
How to use
Install
npm install -g postmancer Tools exposed
http_requestlist_collectionslist_requestssave_requestrequest_from_collectionset_environment_variableget_environment_variables
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "postmancer": {\n "command": "npx",\n "args": ["-y", "postmancer"],\n "env": {\n "LOG_LEVEL": "info"\n }\n }\n }\n} Notes
An open-source experimental REST client built as an MCP server using TypeScript. It aims to provide an alternative to Postman and Insomnia by offering API testing capabilities within the Model Context Protocol framework. The project is in early development with limited adoption.
28 stars on GitHub. Last updated 2025-08-19. Licensed MIT.
Use cases
- Testing REST APIs via MCP-compatible assistants
- Integrating API workflows with AI agents
- Replacing traditional GUI REST clients with a server-based approach
Pros
- Open source with TypeScript codebase
- Leverages MCP protocol for AI tool integration
- Lightweight server-based alternative to GUI clients
Cons
- Experimental status – not production-ready
- Very small community (28 stars) and limited documentation
- Requires MCP-compatible host to function fully
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source with TypeScript codebase
- Leverages MCP protocol for AI tool integration
- Lightweight server-based alternative to GUI clients
Cons
- Experimental status – not production-ready
- Very small community (28 stars) and limited documentation
- Requires MCP-compatible host to function fully
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