Side-by-Side Model Context Protocol Comparison
Agenda Intelligence Md vs Deep Research MCP
In-depth architectural comparison of the Agenda Intelligence Md and Deep Research 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
Agenda Intelligence Md
Research · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Deep Research MCP
Research · Local stdio
Quality: 53/100 (Good) | Auth: API Key required
Verdict Summary: Choose Agenda Intelligence Md if you need specialized Research tools running via a local process. Choose Deep Research MCP if your workspace requires Research integration with local subprocess execution. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
Choose Agenda Intelligence Md when:
- You need dedicated capabilities in the Research domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- Primary tools included: validate_brief, validate_evidence, check_evidence_packet.
Choose Deep Research MCP when:
- You need dedicated capabilities in the Research domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
- You have access to required keys:
RESEARCH_PROVIDER, RESEARCH_API_KEY, RESEARCH_BASE_URL, RESEARCH_MODEL, RESEARCH_TIMEOUT, RESEARCH_POLL_INTERVAL, OPENAI_API_KEY, GEMINI_API_KEY. - Primary tools included: .
Feature & Specification Comparison
Tools & Capabilities Breakdown
Agenda Intelligence Md Tools (31)
validate_brief
Validate a caller-provided agenda brief against agenda-brief.schema.json. Use before running scoring, evidence audit, or publication steps to catch missing sections and schema drift. Pass the parsed brief object as brief_json. Returns validation status and schema errors only; it does not judge factual truth, retrieve sources, or improve the brief.
validate_evidence
Validate a caller-provided evidence pack against evidence-pack.schema.json. Use when you need to confirm that claims, evidence IDs, provenance fields, and optional source_category metadata are structurally usable by Agenda Intelligence. Pass the parsed evidence pack as evidence_json. Returns schema validity and errors; it does not verify whether evidence is true, current, or sufficient.
check_evidence_packet
Check a caller-provided evidence packet before human review. Use when an AI output declares claims, source IDs, optional verbatim quotes, and the full supplied source text. Returns packet_complete, source_review_required, or packet_incomplete per claim and overall, with broken references, quote mismatches, lexical-support gaps, unmatched numbers, and owner actions. Deterministic and local-text only: it does not retrieve sources, score source authority, assess factual truth, or authorize an action.
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).
Agenda Intelligence Md Configuration
Deep Research MCP Configuration
Frequently Asked Questions
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