Solve coding problems using Chain of Draft reasoning to generate minimal intermediate outputs, reducing token usage while maintaining accuracy.
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669,645 tools. Updated 2026-10-17 11:18
"MCP servers for reducing hallucinations while coding" matching MCP tools:
- Convert an annotation into a ready-to-paste coding prompt formatted for your target AI assistant (Claude, Copilot, Cursor, etc.) using a deterministic template with no AI spend.MIT
- Detect and correct hallucinations and fabricated facts in LLM-generated text using multi-channel verification (web search, NLI, cross-reference). Returns corrected output with structured diff.MIT
- Identify the exact library name and official documentation source before writing third-party code. Ensures accurate, up-to-date API usage and prevents hallucinations.MIT
- Execute multiple Gitopia operations atomically in one on-chain transaction, reducing gas costs and round-trips. Supports up to 10 operations: dao_vote, dao_update_members, comment_on_issue, comment_on_pull_request.MIT
- Persist instructions for a volume so all agents automatically follow coding conventions, project rules, or team preferences.MIT
Matching MCP Servers
- AlicenseBqualityAmaintenanceMCP server for coding-os, a cognitive operating system that gives AI agents memory, structure, and discipline. It exposes tools for project management, task tracking, knowledge graphs, and cognition traces to Claude Code and Codex.89116 PyPI6Apache 2.0
- AlicenseNot gradedqualityAmaintenanceProvides AI coding assistants with code search, impact analysis, task chaining, and persistent memory to turn AI demos into deliverable code.17MIT
Matching MCP Connectors
Suggest ICD-10-CM codes from a diagnosis description. Returns ranked codes with confidence, reasoning, coding notes, differential alternatives.
Read-only Chinese Vibe Coding knowledge connector for search, docs, and repo freshness.
- Reduce vertices in LineString or Polygon geometry to simplify shapes and decrease file size without losing essential form. Ideal for improving map rendering performance.MIT
- Cross-check AI-generated claims against source documents to detect hallucinations and unsupported assertions. Get grounding confidence scores and flag assertions that fall below your chosen threshold.Apache 2.0
- Retrieve LLM-readable documentation for a module, including rules and implementation notes, to guide coding against the module contract.MIT
- Retrieve the most relevant remembered context for your current coding task, restoring architecture decisions, conventions, and gotchas from past sessions to reload agent knowledge.MIT
- Save the current coding task plan to resume work later. Store steps, status, and session details before making changes to keep progress trackable.MITDestructive
- Submit a self-contained coding task for background execution while you continue working. Use for slow refactors, migrations, bulk edits, and output-heavy work like generating tests or boilerplate.MIT
- Refines vague coding requests into structured, agent-specific prompts by extracting requirements, filling edge cases, and running quality checks. Ideal for under-specified tasks before handing to a coding agent.MIT
- Send a coding task to an autonomous agent and receive the full response. Maintains context across calls for the same working directory, enabling follow-up tasks.MIT
- Record and update project coding conventions, merging new rules by category and rule text while preserving existing ones unless a full reset is requested.MIT
- Retrieve the frequency band over which RPM filter notches fade in at low throttle, reducing delay at idle.AGPL 3.0
- Retrieve a project's architectural guidelines and coding conventions to answer questions about coding style, patterns, or how to structure new code. Optionally provide a path to read a specific guidelines document.MIT
- Retrieves authoritative MOOSE usage rules for a given task, filterable by planning or coding phase to ensure valid, idiomatic DCS mission code.MIT
- Confirm a memory's accuracy by marking it as verified and updating its timestamp, preventing hallucinations from outdated information.GPL 3.0
- Compress large documents, codebases, or research papers into a knowledge library, reducing size 15-60× while preserving complete data integrity.MIT
- Converts Sinhala or Singlish instructions into precise English technical prompts for AI coding agents, automatically inferring technical context.MIT