What is the key difference between Corroborate MCP and MCP Local Rag?

Corroborate MCP belongs to the Search & Data Extraction category with local stdio execution, while MCP Local Rag belongs to the Search & Data Extraction category with local stdio execution.

How do I install Corroborate MCP or MCP Local Rag in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Corroborate MCP and MCP Local Rag free or paid?

Corroborate MCP operates under a Free / Open Source model (No auth required). MCP Local Rag operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Corroborate MCP lists 2 tools with 3 views and 1 GitHub stars. MCP Local Rag lists 5 tools with 2 views and 134 GitHub stars.

Can I use both Corroborate MCP and MCP Local Rag together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Corroborate MCP vs MCP Local Rag

In-depth architectural comparison of the Corroborate MCP and MCP Local Rag MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Corroborate MCP

Search & Data Extraction · Local stdio

Quality: 57/100 (Good) | Auth: No auth required

MCP Local Rag

Search & Data Extraction · Local stdio

Quality: 69/100 (Great) | Auth: No auth required

Verdict Summary: Choose Corroborate MCP if you need specialized Search & Data Extraction tools running via a local process. Choose MCP Local Rag if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Corroborate MCP when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: corroborate_claim, find_sources.

Explore Corroborate MCP Details

Choose MCP Local Rag when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: rag_search_ddgs, rag_search_google, deep_research.

Explore MCP Local Rag Details

Feature & Specification Comparison

Specification	Corroborate MCP chefcohen Search & Data Extraction	MCP Local Rag nkapila6 Search & Data Extraction
Summary	Tells AI agents how independently a claim is being reported: syndication-aware source counting (a wire story reprinted by 40 outlets counts as one origin), 0-1 confidence scores, and published error rates in-repo. Measures corroboration, not truth — no stance detection. Keyless, no accounts. Install: npx -y corroborate-mcp.	"primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed.
Category & Scope

Tools & Capabilities Breakdown

Corroborate MCP Tools (2)

corroborate_claim

Given a factual/news claim, returns how INDEPENDENTLY it is being reported. Use before relying on a current-event claim. Output: verdict (CONFIRMED = 2+ independent origins | SINGLE_SOURCE | UNCORROBORATED), count of independent story origins (wire/syndication echoes collapse to one), per-source evidence (outlet, domain, url, date), confidence 0-1, coverage flag, honest caveats. Measures REPORTING corroboration, not truth — no stance detection, so a distorted claim about a real event may still show coverage; verify specifics against the returned sources. Keyless, read-only, deterministic; if all sources are unreachable it errors rather than returning a false negative.

find_sources

Multi-engine news/source search (Google News, GDELT, Hacker News) for a query: a deduped list of {outlet, domain, url, date}. Use when you want raw coverage to judge yourself, not a scored verdict — the cheaper primitive under corroborate_claim. Keyless, read-only.

MCP Local Rag Tools (5)

rag_search_ddgs

Search the web for a given query using DuckDuckGo. Returns context to the LLM with RAG-like similarity scoring to prioritize the most relevant results. This tool fetches web search results, scores them by semantic similarity to the query using text embeddings, and returns the top-ranked content as markdown text.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Corroborate MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "chefcohen-corroborate-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "corroborate-mcp"
      ]
    }
  }
}

MCP Local Rag Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nkapila6-mcp-local-rag": {
      "command": "uvx",
      "args": [
        "--python=3.10",
        "--from",
        "git+https://github.com/nkapila6/mcp-local-rag",
        "mcp-local-rag"
      ]
    }
  }
}

Frequently Asked Questions

Corroborate MCP is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, MCP Local Rag belongs to Search & Data Extraction using local stdio subprocess. Select Corroborate MCP when you need capabilities focused on search & data extraction and MCP Local Rag when you require tools for search & data extraction.

More alternatives to Corroborate MCP More alternatives to MCP Local Rag Search & Data Extraction category hub