Burn MCP Server vs Rfp AI

A side-by-side look at the Burn MCP Server and Rfp AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Burn MCP Server logoBurn MCP ServerSecurity · Local subprocess (stdio)22 tools to let your AI agent search, triage, and organize your reading list.55GoodAuth: api key required
R
Rfp AISecurity · Remote HTTP/SSE
Draft cited RFP and security questionnaire answers from your knowledge base, with human review42FairAuth: not declared

Verdict: choose Burn MCP Server for security work as a local process; choose Rfp AI for security over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Burn MCP Server logoChoose Burn MCP Server when

  • You need dedicated capabilities in the Security domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: BURN_MCP_TOKEN.
  • You want tools like search_vault, list_vault, list_sparks.
Explore Burn MCP Server

R
Choose Rfp AI when

  • You need dedicated capabilities in the Security domain.
  • You prefer a remote HTTP/SSE transport.
Explore Rfp AI

Feature & specification comparison

Rows where the two servers differ are marked.

SpecBurn MCP Server logoBurn MCP Server
R
Rfp AI
CategorySecuritySecurity
Quality signal55/100 · Good42/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Remote HTTP/SSE
AuthAPI key requiredNot declared
PricingFreemiumNot declared
Required env varsBURN_MCP_TOKENNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars1—
Directory activity 2 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools26Not listed

Tools & capabilities

Burn MCP Server tools 26

  • search_vaultSearch permanent bookmarks by keyword
  • list_vaultList Vault bookmarks by category
  • list_sparksList recently read bookmarks (30-day window)
  • search_sparksSearch Sparks by keyword
  • list_flameList inbox — what's about to burn
  • get_flame_detailFull detail on a Flame bookmark
  • get_bookmarkGet any bookmark by ID
  • get_article_contentGet full article content + analysis
  • fetch_contentFetch content from a URL (X, Reddit, YouTube, WeChat)
  • list_categoriesAll Vault categories with counts
  • get_collectionsList all Collections
  • get_collection_overviewCollection detail with AI overview
  • +14 more on the listing page

Rfp AI tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Burn MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "burn-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "burn-mcp-server"
      ],
      "env": {
        "BURN_MCP_TOKEN": "YOUR_BURN_MCP_TOKEN_HERE"
      }
    }
  }
}

Rfp AI

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "rfp-ai": {
      "url": "https://rfp.ai/docs/mcp"
    }
  }
}

Frequently asked questions

Burn MCP Server is categorized under Security and uses a local stdio subprocess. Rfp AI belongs to Security and uses a remote HTTP/SSE transport. Pick Burn MCP Server for security work and Rfp AI for security.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Burn MCP Server is listed as freemium — a free tier with paid plans. Auth: api key required. Rfp AI has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add burn-mcp-server and rfp-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Burn MCP Server has a quality signal of 55/100 (Good) with 2 views, 0 installs and 1 GitHub stars. Rfp AI has 42/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.