← Back to list

corroborate-mcp

MCP Server Memory Low risk

Honest claim corroboration for AI agents (MCP server): syndication-aware independent-source counting, confidence scores, and published error rates. Keyless, read-only, open source.

面向AI代理的诚实声明佐证(MCP服务器):考虑联合发布的独立来源计数、置信度评分和已发布的错误率。无需密钥、只读、开源。

How to install

MCP Server npx -y corroborate-mcp

Recommendation signals

40 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
40 Overall
0views
0unique visitors
0install copies
0download clicks
0outbound clicks

Meta

License
MIT
Language
JavaScript
GitHub stars
1
mo. downloads
–
Last push
2026-07-29
Created
2026-07-12

Links

Basic safety check

Findings
None
Sources
curated:punkpeye/awesome-mcp-servers
Topics
ai-agents, ai-tools, claim-verification, corroboration, fact-check, fact-checking, llm-tools, mcp, mcp-server, model-context-protocol, news, source-verification

Related plugins

DeepSeek Harness
Score98

hindsight

vectorize-io/hindsight/tree/main/hindsight-integrations/coding-agents

Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.

☆ 27.7K ↓ 124.6K Memory ↗
MCP ServerClaude Code
Score91

firecrawl-mcp-server

firecrawl/firecrawl-mcp-server

🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.

☆ 7.5K ↓ 126.7K Memory ↗
DeepSeek Harness
Score84

dsh-mnemon

omdsh-dev/dsh-mnemon

Cross-agent, local-first persistent memory plugin for DeepSeek Harness (DSH), powered by Mnemon. It shares long-term memory across Mnemon-enabled agents and adds runtime memory, searchable project documents, semantic recall, knowledge graph, and a Sidebar UI.

☆ 409 ↓ 36.1K Memory ↗
Claude Code
Score82

get-shit-done

gsd-build/get-shit-done

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.

☆ 64.5K ↓ 48.4K Memory ↗