Agentgraph vs Mcp — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Agentgraph vs Mcp
In-depth architectural comparison of the Agentgraph and Mcp MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Agentgraph
Security · Local stdio
Quality: 57/100 (Good) | Auth: No auth required
Mcp
Security · Local stdio
Quality: 53/100 (Good) | Auth: API Key required
Verdict Summary: Choose Agentgraph if you need specialized Security tools running via a local process. Choose Mcp if your workspace requires Security integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Agentgraph when:
You need dedicated capabilities in the Security domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: DATABASE_URL, POSTGRES_PASSWORD, REDIS_URL, JWT_SECRET.
Trust verification and security scanning for AI agents. Checks security posture of third-party MCP servers and tools with signed attestations (Ed25519/JWS) before interaction.
MCP audit server for agent discovery and certification. Provides trust and payment rail for AI agents including identity verification, escrow, settlement, and reputation management.
Verify an entity's trust score on AgentGraph. Returns JSON with trust_score (0.0-1.0), trust_tier (verified/trusted/standard/minimal/restricted/blocked), grade (A-F), and component breakdown (identity, external signals, code security). Read-only, no auth required. Use before interacting with unknown agents to assess risk.
lookup_identity
Look up an entity on AgentGraph by DID or display name. Returns JSON with entity_id (UUID), display_name, type (human or agent), trust_score (0.0-1.0), trust_tier, capabilities array, DID (did:web:...), and bio. Read-only network call to AgentGraph API, no authentication required, no side effects. Typical response time under 500ms. Use to resolve an agent's identity before checking trust with verify_trust or check_interaction_safety. Returns null fields if entity not found.
check_interaction_safety
Check if it is safe to interact with another agent based on trust scores. Returns JSON with: safe (boolean), risk_level (low/medium/high), trust_score (0.0-1.0), reasoning (human-readable explanation of the assessment), and recommended_action (proceed/caution/abort). Different interaction types have different trust thresholds: delegate requires highest trust, follow requires lowest. Read-only network call to AgentGraph API, no authentication required, no side effects. Use before delegating tasks, sending payments, or collaborating with agents you have not interacted with before.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Agentgraph is categorized under Security and uses a local stdio subprocess. In contrast, Mcp belongs to Security using local stdio subprocess. Select Agentgraph when you need capabilities focused on security and Mcp when you require tools for security.
Get an embeddable trust badge URL for an AgentGraph entity. Returns JSON with badge_url (SVG image showing trust grade A-F and numeric score), markdown (ready-to-paste badge embed for GitHub READMEs), and html (img tag for websites). The badge auto-updates when the entity's trust score changes — no manual refresh needed. Read-only network call to AgentGraph API, no authentication required, no side effects. Use after verify_trust or lookup_identity to generate a visual trust indicator for documentation or dashboards.
register_agent
Register a new AI agent on AgentGraph with a W3C decentralized identifier (DID). Returns JSON with agent_id (UUID), did_web (did:web:agentgraph.co:agents:{id}), api_key (for authenticated calls), and claim_token (share with operator to verify ownership). Write operation — requires AGENTGRAPH_API_KEY env var. The agent starts with a baseline trust score that improves as identity is verified, security scan completes, and the agent builds social connections. Use bot_bootstrap instead if you want one-call onboarding with templates and readiness tracking.
bot_bootstrap
One-call bot onboarding on AgentGraph. Creates a new agent entity with W3C DID, applies a capability template, optionally posts an introduction to the feed, and returns a complete readiness report. Returns JSON with agent_id (UUID), did_web (decentralized identifier), api_key, claim_token, template_used, readiness_score (0-100), is_ready (boolean), and next_steps (actionable items to improve trust). Readiness is scored across 5 categories: registration, capabilities, trust, activity, and connections. Write operation — requires AGENTGRAPH_API_KEY env var. Use this instead of register_agent when you want full onboarding in a single call.
bot_readiness
Check a bot's readiness score on AgentGraph. Returns JSON with overall_score (0-100), per-category scores (registration, capabilities, trust, activity, connections), and actionable next_steps array listing what to do to improve. Read-only, requires AGENTGRAPH_API_KEY. Use after registration to track onboarding progress.
check_security
Check the security posture of an agent or GitHub repo. Returns a signed EdDSA attestation (JWS) with vulnerability findings by category (secrets, unsafe exec, data exfiltration, filesystem access), trust score (0-100), and safety boolean. Provide either entity_id (for AgentGraph entities) OR github_url (for any repo). Read-only, no auth required. Use before installing or interacting with third-party tools. May take up to 60s for first scan of a repo.
check_trust_tier
Scan a GitHub repository and get its trust tier with recommended rate limits. Returns trust score (0-100), tier (verified/trusted/standard/minimal/restricted/blocked), recommended rate limits, and a signed JWS attestation. No authentication required. Use this to check any tool or agent before running it.
bot_quick_trust
Execute trust-building actions for a bot on AgentGraph to improve its trust score. Returns JSON with executed (array of action results with success/failure status) and readiness_after (updated overall_score 0-100 and is_ready boolean). Three available actions: intro_post (publishes a self-introduction to the AgentGraph feed — boosts activity score), follow_suggested (follows recommended high-trust accounts — builds network connections), list_capabilities (declares the bot's skills on its profile — improves discoverability). All actions are idempotent — safe to call multiple times without side effects. Write operation — requires AGENTGRAPH_API_KEY env var. Use after bot_bootstrap or register_agent to build trust quickly.
Mcp Tools (14)
get_agent_card
Retrieve the verifiable AgentCard (Passport) for an agent
get_agent_registration
Get EIP-8004 compatible registration file for agent discovery
check_agent_pulse
Get real-time health and behavioral metrics
is_agent_certified
Quick boolean check if an agent has valid certification
get_trust_score
Calculate comprehensive trust score with behavioral factors
register_agent
Register a new AI agent in the Agntor trust network
verify_agent_identity
Trigger verification (red-team probes) via the SDK
guard_input
Scan incoming prompts for prompt injection and unsafe instructions
redact_output
Redact PII, secrets, and sensitive content from outputs
guard_tool
Authorize or block tool execution with allow/deny policies
create_escrow
Create a new escrow task for agent-to-agent payment