Rfp AI vs Agentward
A side-by-side look at the Rfp AI and Agentward MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
R
Rfp AISecurity · Remote HTTP/SSEDraft cited RFP and security questionnaire answers from your knowledge base, with human review42FairAuth: not declared
AgentwardSecurity · 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 requiredVerdict: choose Rfp AI for security work over a hosted endpoint; choose Agentward for security as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
RChoose Rfp AI when
- You need dedicated capabilities in the Security domain.
- You prefer a remote HTTP/SSE transport.
Choose 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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | R Rfp AI | Agentward |
|---|---|---|
| Category | Security | Security |
| Quality signal | 42/100 · Fair | 47/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | 19 |
| Directory activity | 1 views 0 installs 0 upvotes | 7 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Rfp AI | View Agentward |
Tools & capabilities
Rfp AI tools
No tool names declared yet. Check the project README from the listing page.
Agentward 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.
Rfp AI
{
"mcpServers": {
"rfp-ai": {
"url": "https://rfp.ai/docs/mcp"
}
}
}
Agentward
{
"mcpServers": {
"agentward-ai-agentward": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem"
]
}
}
}
Frequently asked questions
Rfp AI is categorized under Security and uses a remote HTTP/SSE transport. Agentward belongs to Security and uses a local stdio subprocess. Pick Rfp AI for security work and Agentward 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.
Rfp AI has no declared pricing — check the project's own site. Agentward is listed as free. Auth: no auth required. 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 rfp-ai and agentward-ai-agentward as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Rfp AI has a quality signal of 42/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Agentward has 47/100 (Fair) with 7 views, 0 installs and 19 GitHub stars.