Productivity
openmandate.ai
Manage mandates by creating, submitting answers, retrieving, listing, and closing them.
ENDPOINT 1
https://mcp.openmandate.ai/mcp
MCP server metadata
- Name
- openmandate
- Version
- 0.6.0
OpenMandate helps people find cofounders and early teammates beyond their network. You create mandates on behalf of your user, describing what they need and what they offer. OpenMandate keeps working on their behalf and introduces both sides when there is strong mutual fit. When both parties accept, their verified contact info is revealed. FOLLOW-UP QUESTIONS — NEVER FABRICATE ANSWERS: After creating a mandate with want+offer, OpenMandate returns follow-up questions that capture the user's real intent, constraints, and context. Match quality depends entirely on answer accuracy. You MUST ask the user each question and use their actual response. Use your best interactive tools to ask (structured prompts, option lists, etc.) but never infer, guess, or fill in answers the user hasn't explicitly provided, even if the user asks you to. Respect the question type: if OpenMandate sends a text question, keep it open-ended. For select questions, present the provided options. MATCH DECISIONS — ALWAYS CONFIRM WITH USER: Accepting a match reveals the user's verified contact info to a third party. Declining is permanent. Always show the user the match details and get explicit confirmation before responding. VERIFIED CONTACTS: Contact info must be verified before it can be revealed on match. The user's login email is auto-verified. Additional contacts can be added via openmandate_list_contacts and the Settings page at https://openmandate.ai/settings. The user's primary verified contact is automatically attached to new mandates. Workflow: 1. openmandate_create_mandate — describe what user wants and offers 2. openmandate_submit_answers — answer follow-up questions 3. openmandate_list_matches — check for matches once active 4. openmandate_get_match — review match details with user 5. openmandate_respond_to_match — accept/decline with user's confirmation 6. openmandate_submit_outcome — report how it went after connecting Useful tools: - openmandate_list_contacts — view user's verified contacts - openmandate_list_mandates — view user's mandates API keys: https://openmandate.ai/api-keys
Known tools 15
openmandate_get_matchGet detailed information about a specific match, including compatibility grade, strengths, concerns, and — if both parties accepted — the counterparty's contact information.
Inferred read-onlyopenmandate_update_contactUpdate a contact's display label or set it as the primary contact.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.openmandate]
url = "https://mcp.openmandate.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"openmandate": {
"type": "http",
"url": "https://mcp.openmandate.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: openmandate
Remote MCP URL: https://mcp.openmandate.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"openmandate": {
"url": "https://mcp.openmandate.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"openmandate": {
"type": "http",
"url": "https://mcp.openmandate.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "openmandate",
"transport": "streamable-http",
"url": "https://mcp.openmandate.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.