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…
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…
Official ContextPull links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is ContextPull good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
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 — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"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": [
"MCP"
],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "free",
"stated_free": {
"quote": "library, or use tools.json with the Anthropic or OpenAI API directly. MIT licensed, no network calls in the core, so it embeds in air-gapped products. T",
"url": "https://mi2arun.github.io/contextpull/",
"day": "2026-10-14",
"note": "The vendor says it is free in its own words; this is not an observed $0 price."
},
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No reliable public SaaS pricing is shown; the homepage contains an unexplained $0.30 figure without a pricing context.",
"confidence": "medium",
"source_url": "https://mi2arun.github.io/contextpull/",
"checked_at": "2026-10-19T01:31:01.558Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://mi2arun.github.io/contextpull/"
],
"last_checked": "2026-10-19",
"profile_checked": null,
"price_checked": "2026-10-19",
"how_to_connect": {
"website": "https://mi2arun.github.io/contextpull/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": "uvx --from \"contextpull[mcp]\" contextpull serve ./docs Any MCP host, Node or Go npx",
"repository": null,
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "both",
"both_offered": false,
"hosted_endpoint": null,
"install": "uvx --from \"contextpull[mcp]\" contextpull serve ./docs Any MCP host, Node or Go npx",
"note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
"evidence": {
"sources": [
"page_text:hosted",
"page_text:install",
"page_text:licence"
],
"excerpt": "op, Cursor and others attach the server over stdio; a shared read-only server speaks streamable HTTP. The Python server needs the mcp extra; the Node server needs nothing",
"url": "https://mi2arun.github.io/contextpull/",
"observed_day": "2026-10-24",
"age_days": 2,
"hosted_evidence": "wording: \"streamable HTTP\"",
"rule": "deploy-v1"
}
},
"licence": {
"name": "MIT",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "page text: \"h the Anthropic or OpenAI API directly. MIT licensed, no network calls in the co\"",
"observed_day": "2026-10-24",
"age_days": 2
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 773,
"uptime_7d": 1,
"checked_at": "2026-10-24T02:33:50.761Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}