Assay Truth Graph MCP
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Assay Truth Graph MCPsearch the truth graph for product positioning on AI governance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Assay Truth Graph MCP
Assay Truth Graph MCP is a remote MCP server for GTM teams that need AI agents to work from governed, cited company truth.
Assay turns positioning, proof points, brand voice, personas, collateral context, and validation rules into a governed Truth Graph. The remote MCP server hands that context to Claude, ChatGPT, Cursor, Claude Code, Codex, and other MCP clients without copying company facts into each agent.
The server has full parity with the Assay app. What the team does in the
product, your agents can do here: 48 registered tools spanning Truth Graph
search and governed mutation, content validation, collateral, AI search and
GEO, readiness simulation, pre-call briefs, and review and promotion. Call
tools/list on the live endpoint for the current surface.
Connect
Use the remote streamable HTTP endpoint:
https://app.assay.wiki/api/mcp/v2/mcpClaude Code:
claude mcp add --transport http assay-truth-graph https://app.assay.wiki/api/mcp/v2/mcpGeneric MCP config:
{
"mcpServers": {
"assay-truth-graph": {
"type": "http",
"url": "https://app.assay.wiki/api/mcp/v2/mcp"
}
}
}OAuth opens in the browser on first use for interactive clients. Headless agents can authenticate with an org API key from Assay Settings.
Replit one-click install:
Codex repo marketplace:
codex plugin marketplace add Assay-Org/assay-truth-graph-mcpThen install the Assay Truth Graph plugin from Codex Plugins.
Related MCP server: en-quire
What Agents Can Do
Get verified GTM context for customer-facing drafts.
Search the Truth Graph with provenance and caller-aware context shaping.
Validate draft content against approved facts and guardrails before it ships.
Create or update Truth Graph records through dry-run and human-approved plan-token workflows.
Generate grounded collateral drafts in quarantine, with preview and export gates, and re-render them when the underlying story changes.
Run the AI search and GEO workspace: briefs, artifacts, evidence, goals, hosted sites, and approval-gated publishing.
Run readiness simulations and build pre-call briefs.
Review, approve, and promote through the same gates the app uses.
Two entitlement lanes are enforced server-side. mcp_access covers read and
verification tools on Free and above. mcp_control_access covers write and run
tools on Scale and above. Writes are dry-run by default and mint a single-use,
expiring plan token that must be confirmed. Pricing, policy, proof, and identity
kinds are refused for autonomous mutation, and unmapped kinds fail closed.
Links
Product: https://assay.wiki/
MCP docs: https://assay.wiki/mcp/
Trust center: https://assay.wiki/trust/
Privacy: https://assay.wiki/legal/privacy/
Settings: https://app.assay.wiki/settings
Manual listing checklist: ./MANUAL-SUBMISSION-CHECKLIST.md
Directory tracker: ./DIRECTORY-SUBMISSIONS.md
Directory Copy
Short description (standard field):
Ranked, governed, cited GTM context for your agents, on one living source of truth.Short description (hard short limits, 47 chars):
Governed, cited GTM context for your AI agents.Company one-liner (about-the-company slots):
Elite AI GTM team on one living source of truth.Tags:
MCP, Model Context Protocol, remote MCP server, GTM, go-to-market, marketing,
sales, content, SEO, brand, positioning, messaging, sales enablement,
content governance, AI governance, compliance, truth graph, provenance,
knowledge graph, Claude, ChatGPT, CursorThis server cannot be deployed
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Team docs served to AI agents over MCP - search, Markdown reads, version pinning, read audit.
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