Agentward vs Rfp AI

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

Agentward logoAgentwardSecurity · Local subprocess (stdio)Permission control plane for AI agents. MCP proxy that enforces least-privilege YAML policies on every tool call, classifies sensitive data (PII/PHI), detects dangerous skill chains, and generates compliance audit trails. Supports stdio and HTTP proxy modes.47FairAuth: no auth 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 Agentward 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?

Agentward logoChoose Agentward when

  • You need dedicated capabilities in the Security domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
Explore Agentward

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.

SpecAgentward logoAgentward
R
Rfp AI
CategorySecuritySecurity
Quality signal47/100 · Fair42/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Remote HTTP/SSE
AuthNo auth requiredNot declared
PricingFreeNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars19—
Directory activity 7 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Agentward tools

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

Agentward

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "agentward-ai-agentward": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem"
      ]
    }
  }
}

Rfp AI

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

Frequently asked questions

Agentward is categorized under Security and uses a local stdio subprocess. Rfp AI belongs to Security and uses a remote HTTP/SSE transport. Pick Agentward 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.

Agentward is listed as free. Auth: no auth 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 agentward-ai-agentward and rfp-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Agentward has a quality signal of 47/100 (Fair) with 7 views, 0 installs and 19 GitHub stars. Rfp AI has 42/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.