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Blackbird MCP

Give every agent access to intelligence it cannot infer.

Connect AI agents to Blackbird Signals, Context Graph relationships, and evidence-backed narrative intelligence through the Model Context Protocol. Agents get governed tools and context; your team keeps control of scope, sources, and decisions.

Explore MCP access See agent capabilities
Agent-native

Purpose-built MCP tools let agents discover and investigate narrative risk without custom glue code.

Foundation-grounded

Every answer can draw from proprietary Signals, campaign history, actor intelligence, and the Context Graph.

Evidence attached

Source lineage and analytical context travel with findings instead of disappearing inside a generated answer.

Agent-ready intelligence

Your model is the reasoning engine. RAV3N is the intelligence system.

General-purpose models can interpret what they are given. Blackbird MCP gives them differentiated context they cannot produce from a prompt: bot and coordination signals, narrative clusters, anomalous activity, actor history, attribution, toxicity, and provenance.

01

Discover narratives

Find emerging claims and clusters before a user knows the exact query to ask.

02

Investigate actors

Retrieve connected identities, cohorts, behaviors, networks, and prior activity.

03

Assess manipulation

Evaluate bot-like behavior, coordination, anomalies, toxicity, and amplification patterns.

04

Trace campaign lineage

Connect current activity to earlier narratives, motifs, actors, and operations.

05

Retrieve evidence

Bring relevant posts, sources, and analytical context into the agent workflow.

06

Explain risk

Return decision-ready findings with the signals and provenance behind the conclusion.

How it works

From an agent request to a grounded action.

  1. 01

    Connect

    Configure Blackbird MCP in an MCP-compatible agent or application.

  2. 02

    Scope

    Apply the organization, project, source, and workflow access available to that agent.

  3. 03

    Call

    The agent selects a Blackbird tool when a task needs narrative intelligence.

  4. 04

    Ground

    RAV3N returns connected context, Signals, evidence, and provenance.

  5. 05

    Act

    The agent summarizes, escalates, or continues the workflow with a traceable basis.

MCP first. API compatible.

Choose the interface that fits the workload.

MCP

Use MCP for agents

Give AI agents discoverable tools, structured context, and an agent-native way to work with RAV3N.

  • Agent-selected tools and workflows
  • Structured, model-readable context
  • Fast integration with MCP-compatible clients

API

Use the API for conventional integrations

Keep direct programmatic access for deterministic application, SIEM, SOAR, and data-pipeline use cases.

  • Application-controlled requests
  • Stable endpoint-based integrations
  • Compatibility with existing enterprise systems

Governed by design

Agent access without an intelligence free-for-all.

Blackbird MCP exposes governed RAV3N capabilities rather than handing an agent an unstructured data dump. Access can follow the same project and organizational boundaries used across the platform, while evidence and provenance remain available for review.

  • Scoped access to tools, projects, and sources
  • Evidence and provenance connected to outputs
  • Human review retained for high-consequence decisions
  • SOC 2 Type II attested platform controls

Blackbird MCP questions

Build agent workflows on differentiated intelligence.

What is Blackbird MCP?

Blackbird MCP is the agent-native access layer for the RAV3N Foundation. It exposes governed narrative intelligence tools and context through the Model Context Protocol so compatible agents can discover and use Blackbird capabilities within their workflows.

Why use MCP instead of putting an LLM directly on our data?

A model can reason over retrieved content, but raw retrieval does not provide Blackbird’s proprietary behavioral Signals, cross-platform entity relationships, campaign history, attribution, or source provenance. Blackbird MCP makes those differentiated dimensions available as governed tools.

Does MCP replace the Blackbird API?

MCP is the primary path for agent workflows. API access remains available as a secondary compatibility option for conventional applications, deterministic system integrations, and data pipelines.

Which agents can connect?

Blackbird MCP is designed for MCP-compatible clients and agent frameworks. The exact tools and access available depend on your RAV3N deployment and configured permissions.

Can a human review the evidence?

Yes. Blackbird MCP is designed to preserve the source lineage and analytical context behind a finding so analysts and decision makers can review the basis for consequential actions.

Bring Blackbird intelligence to your agents

Ground your next agent workflow in the RAV3N Foundation.

Tell us what your agents need to investigate, decide, or automate. We will map the right Blackbird MCP tools and governance model.

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