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AutoRFP.ai

Registre officiel Recherche et web

Search AutoRFP.ai projects, requirements, content library, and tags for Q&A and analytics.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http autorfp-ai 'https://{api_host}/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "autorfp-ai": {
            "type": "http",
            "url": "https://{api_host}/mcp"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. AutoRFP.ai — MCP Server
  2. What it does
  3. Servers
  4. Setup
  5. Example prompts
  6. Requirements
  7. Troubleshooting
  8. More resources
  9. License

AutoRFP.ai — MCP Server

The Model Context Protocol (MCP) server that lets AI assistants like Claude and ChatGPT connect directly to your AutoRFP.ai workspace. Ask questions about your RFP projects, search your approved content library, and check requirement status without leaving the chat.

This repo holds the public server.json manifest. The server itself is hosted by AutoRFP.ai.

What it does

Once connected, your AI assistant has read-only access to:

What it can accessWhat it can do
TagsSee your organisation's tag categories and vocabulary
ProjectsList projects, filter by status, due date, or tags
RequirementsRead questions and answers within a project, filter by status or tag
Content LibrarySearch approved content by keyword or semantic meaning, browse by tag or file type

The connection cannot create, edit, or delete anything in AutoRFP.ai.

Servers

AutoRFP.ai runs three regional MCP endpoints. Pick the one that matches your AutoRFP.ai data residency region:

RegionURL
APAChttps://api.autorfp.ai/mcp
EUhttps://api.eu.autorfp.ai/mcp
UShttps://api.us.autorfp.ai/mcp

If you do not know your region, check the URL you log in with, or ask your AutoRFP.ai admin.

Setup

There are two parts: an org-level admin sets up the connection once, then each user authorises it for their own chat.

Part 1: Add the connector (Claude org admin, one-off)
  1. Log in to Claude and open Settings.
  2. Go to Connectors, then Add, then Add Custom Connector.
  3. Enter the AutoRFP.ai MCP server URL for your region (see table above).
  4. Name the integration (e.g. "AutoRFP.ai") and click Add.
Part 2: Authorise the connection (each user)
  1. In Claude, go to Settings, then Connectors.
  2. Find the AutoRFP.ai connector and click Connect.
  3. Sign in to AutoRFP.ai when prompted and approve the three permission scopes:
    • tags:read — see your organisation's tag categories
    • projects:read — read your RFP projects and requirements
    • content:read — search your approved content library
  4. Make sure the new connection is Enabled in your next conversation.

Each user inherits their own AutoRFP.ai permissions, so people only see what they would see logged into the app directly.

ChatGPT and other MCP clients

ChatGPT and any other MCP-compatible client uses the same server URLs and OAuth flow. Add a custom connector or integration in your client's settings and point it at the URL for your region.

Example prompts

Once connected, try:

  • "List my open RFP projects in AutoRFP.ai."
  • "What RFPs are due in the next two weeks and how many unanswered requirements do they each have?"
  • "Search our content library for responses about GDPR compliance."
  • "List all projects tagged 'Healthcare' and 'Security' that are still in progress."
  • "Find everything we've ever said about our implementation methodology and summarise the key themes."
  • "Which content items have been reused the most across projects?"
Tips
  • Be specific. "In-progress projects tagged Security" returns sharper results than "show me projects."
  • Combine filters. Status, tags, and due dates all stack.
  • Use semantic search. The content library understands meaning, not just keywords.

Requirements

  • An AutoRFP.ai account with access to the projects and content you want to query.
  • A Claude Pro, Team, or Enterprise plan (the Integrations and Connectors option is plan-gated). Equivalent paid tier for other MCP clients.
  • For the initial org-level setup in Claude, a Claude organisation admin.

Troubleshooting

"I don't see the Connectors option in Settings." You need a Claude Pro, Team, or Enterprise plan.

"A colleague added the integration but I still can't see my data." Each user connects their own AutoRFP.ai credentials. Run Part 2 of the setup above.

"I'm getting permission errors on certain projects." The connector inherits your AutoRFP.ai role-based permissions. If you cannot see a project in the app, the assistant cannot either.

"Which region am I on?" Look at the URL you use to log into AutoRFP.ai, or ask your AutoRFP.ai admin.

More resources

License

MIT

Questions fréquentes

Qu'est-ce que AutoRFP.ai ?

Search AutoRFP.ai projects, requirements, content library, and tags for Q&A and analytics.

Comment installer AutoRFP.ai ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http autorfp-ai 'https://{api_host}/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour AutoRFP.ai ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

AutoRFP.ai est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient AutoRFP.ai ?

Il est publié par AutoRFP. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.