Agentery pricing intelligence · MCP server profile · ContextPull
MCP server profile · independently tracked by Agentery
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ContextPull

mi2arun.github.io/contextpull official website

An MCP server and document-retrieval library for LLM agents. It indexes files into SQLite and lets models search, read exact sections, grep, and retrieve neigh…

MCP server
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

ContextPull

An MCP server and document-retrieval library for LLM agents. It indexes files into SQLite and lets models search, read exact sections, grep, and retrieve neigh…

Agentery has not yet captured structured capability detail for this provider.

Official ContextPull links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is ContextPull good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

ContextPull's local market

Nearest products by what they do.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "contextpull",
  "name": "ContextPull",
  "url": "https://mi2arun.github.io/contextpull/",
  "logo": "https://www.google.com/s2/favicons?domain=mi2arun.github.io&sz=128",
  "niche": null,
  "category": null,
  "short_summary": "An MCP server and document-retrieval library for LLM agents. It indexes files into SQLite and lets models search, read exact sections, grep, and retrieve neigh…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://mi2arun.github.io/contextpull/"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://mi2arun.github.io/contextpull/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}