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Pare HTTP

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Structured HTTP request operations (GET, POST, HEAD) as typed JSON.
GitHub source repository ↗
★ 138 Stars Category · Dev Tools Popular Source revision 57e1980e8375
32FMRS · D
Reliability
5/20
Security and permissions
4/20
Maintenance
7/20
Documentation
7/20
Setup experience
9/20

Pare HTTP is an MCP server for AI agents, focusing on HTTP operations with structured JSON output, reducing token consumption and improving reliability. It's best suited for workflows that need to interact with HTTP APIs, but not for scenarios requiring alternate transports or non-HTTP functionality.

Read the FMRS scoring method →

Pare HTTP is one of the MCP servers in the Pare project, providing structured HTTP request operations (GET, POST, HEAD) that return typed, schema-validated JSON instead of raw terminal text. It wraps tools like curl, eliminating fragile parsing of CLI output and enabling agents to consume reliable data directly.

Tools

The tool list has not been reviewed yet.

Setup

Install via npm and configure your MCP client, e.g., npx -y @paretools/http. Set command to npx and args to ['-y', '@paretools/http'] in client config. Ensure Node.js version >= 20.

Fit and risk

Best for

  • AI coding assistants needing reliable, typed HTTP response data
  • Developers seeking to reduce token usage and parsing errors

Not for

  • Scenarios requiring non-HTTP functionality
  • Running on older Node.js (<20) versions
  • MCP clients that do not support stdio transport

Required permissions

  • Network access to send HTTP requests
  • Read/write local files (if requests involve file operations like uploads)
  • System command execution (via curl)

Risks and side effects

  • Potential for unintended requests if server is not secured
  • Sensitive data may be exposed via HTTP requests
  • Dependency on network stability

Troubleshooting

  1. Check Node.js version meets requirement (>=20)
  2. Verify MCP client configuration is correct
  3. Ensure network connectivity is available
  4. Review server logs for error details

Use cases

AI agents performing HTTP requests and receiving structured responses
Automated API testing and debugging
Integrating HTTP calls in development workflows without manual curl parsing

Supported clients

Supported clients have not been confirmed yet.