What is the key difference between Agenda Intelligence Md and BrowserAI Dev?

Agenda Intelligence Md belongs to the Research category with local stdio execution, while BrowserAI Dev belongs to the Research category with local stdio execution.

How do I install Agenda Intelligence Md or BrowserAI Dev in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Agenda Intelligence Md and BrowserAI Dev free or paid?

Agenda Intelligence Md operates under a Free / Open Source model (No auth required). BrowserAI Dev operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

Agenda Intelligence Md lists 31 tools with 4 views and 6 GitHub stars. BrowserAI Dev lists 13 tools with 3 views and 20 GitHub stars.

Can I use both Agenda Intelligence Md and BrowserAI Dev together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Agenda Intelligence Md vs BrowserAI Dev

In-depth architectural comparison of the Agenda Intelligence Md and BrowserAI Dev 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

BrowserAI Dev

Research · Local stdio

Quality: 64/100 (Good) | Auth: API Key required

Verdict Summary: Choose Agenda Intelligence Md if you need specialized Research tools running via a local process. Choose BrowserAI Dev 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.

Explore Agenda Intelligence Md Details

Choose BrowserAI Dev when:

You need dedicated capabilities in the Research domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: LASTSEARCH_API_KEY.
Primary tools included: search, open, extract.

Explore BrowserAI Dev Details

Feature & Specification Comparison

Specification	Agenda Intelligence Md vassiliylakhonin Research	BrowserAI Dev BrowseAI-HQ Research
Summary	Auditable strategic-risk memos for AI agents — sanctions, regulatory, geopolitics, trade. Geography-routed regional specialists (Central Asia/Caspian, Gulf/Middle East), per-claim evidence discipline, schema-validated output, machine-verified audit. No live data retrieval. PyPI: agenda-intelligence-md.	Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode (raw LLM vs evidence-backed). MCP server, REST API, and Python SDK.
Category & Scope

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

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "vassiliylakhonin-agenda-intelligence-md": {
      "command": "uvx",
      "args": [
        "--from",
        "agenda-intelligence-md",
        "agenda-intelligence-mcp"
      ]
    }
  }
}

BrowserAI Dev Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "browseai-hq-browserai-dev": {
      "command": "npx",
      "args": [
        "-y",
        "lastsearch"
      ],
      "env": {
        "LASTSEARCH_API_KEY": "YOUR_LASTSEARCH_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

Agenda Intelligence Md is categorized under Research and uses a local stdio subprocess. In contrast, BrowserAI Dev belongs to Research using local stdio subprocess. Select Agenda Intelligence Md when you need capabilities focused on research and BrowserAI Dev when you require tools for research.

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