"Forwarding Work Requests and Comments to Other Models or Tools" matching MCP servers:

Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.

Provides comprehensive read/write access to Word documents, including comments, track changes, and reply threads.

Enables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables adding inline, range-anchored comments to specific text fragments in Google Docs, overcoming the limitation that Google APIs cannot create anchored comments.

Enables AI agents to add precise, range-anchored comments to Google Docs by bridging the Model Context Protocol with browser automation.

Enables retrieval of comments from Bilibili videos and dynamic posts with support for pagination, sorting, and nested replies in both Markdown and JSON formats.

MCP server that fetches and replies to Figma file comments, with filtering and a triage skill to organize them into decisions, questions, and to-dos.

Scans a repository for maintenance toil (flaky tests, expiring certificates, TODO rot, dead flags, etc.) and returns a prioritized queue with a credit ledger to track who cleared what.

MCP server that lists available GitHub Models and compares responses from multiple models for the same prompt.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

A local kanban board and docs tool that AI agents can drive over MCP. It enables project management without accounts or API keys.

An MCP server that lets Claude read Figma file comments directly, with tools to list comment threads scoped to a frame or file and render images of pinned nodes.

Enables AI agents to search and read a local, provider-independent email archive, reconstruct contacts and interactions, and prepare draft responses without sending anything.

Enables reading and acting on comments in Figma and FigJam, resolving which layer each comment is pinned to, complementing the official Figma MCP server.

A lightweight MCP server that adds Figma Comments support to AI assistants, enabling reading, querying, and replying to comments via the Figma REST API.

An MCP server for time tracking and billing that allows freelancers to control timers, manage projects, and export invoices via natural language in any MCP-compatible AI assistant.

A local MCP server that connects Claude Code to your work environment through auditable tools for file operations, API calls, and command execution, with safety gates and configuration.