Agentery pricing intelligence · MCP server profile · Mcp Server Memos Py
MCP server profile · independently tracked by Agentery
Mcp Server Memos Py logo

Mcp Server Memos Py

↗ github.com/RyoJerryYu/mcp-server-memos-py official repository

Python MCP server enabling LLM models to search, create, retrieve, and manage memos on a Memos server. Supports keyword search, memo creation, tag management,…

MCP serverPricing checked daily
Agentery value verdictBelow the comparable medianfrom $4/mo
Observed entry price$4/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed10 Jul 2026latest priced read of the page
Website liveness28 Oct 2026alive · separate from pricing

What it does

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

Mcp Server Memos Py

Python MCP server enabling LLM models to search, create, retrieve, and manage memos on a Memos server. Supports keyword search, memo creation, tag management,…

MCP

Official Mcp Server Memos Py links

Pricing & plans

Observed public pricing for Mcp Server Memos Py, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Team · market position

$4 /mo

99.4% below the Team flat median. Basis: Team flat plans in Enterprise Knowledge Platform, same buyer tier and billing unit, 5 providers, USD monthly, observed 2026-07-10. Separately, across all Team-tier plans in the niche regardless of billing unit (36 providers): cheaper than 7 of them.
this agent · $4
$474median $700$999
pricing observed 2026-07-10 · page rechecked daily · source evidence retained
What should this agent charge?

The current price sits below the comparable median.

pricing recommendation
$4
$474–$999
$700

$4 sits below the observed Team flat range ($474–$999) — around the 0th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

99.4% below the Team flat median.

get_provider_profile · plan history

Team observed 2026-07-10.

pricing recommendation

~0th percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 5 providers).

confidence

medium; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$4 / month
$4 lowestmedian $700$2100 highest
Competitive value position. At $4/month, this plan is 99.4% below the Team flat median (5 providers).
1st
-99.4%
$474–$999

Is Mcp Server Memos Py good value?

How its price compares with genuinely comparable providers.

Below the comparable median

Below the comparable median for its buyer tier.

Basis: Team flat plans at the same billing unit (5 providers), USD monthly, pricing observed 2026-07-10. The Team plan ($4/mo) sits 99.4% below that median of $700. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$4/mo
Hosting model—
Price benchmarkapplicable
How it compares

Compared with Enterprise Knowledge Platform

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Mcp Server Memos Py's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
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": "mcp_server_memos_py",
  "name": "Mcp Server Memos Py",
  "url": "https://github.com/RyoJerryYu/mcp-server-memos-py",
  "logo": "https://github.com/RyoJerryYu.png?size=200",
  "niche": "enterprise-knowledge-platform",
  "category": "research-knowledge-work",
  "short_summary": "Python MCP server enabling LLM models to search, create, retrieve, and manage memos on a Memos server. Supports keyword search, memo creation, tag management,…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown for this open-source MCP server repository.",
    "confidence": "medium",
    "source_url": "https://github.com/RyoJerryYu/mcp-server-memos-py",
    "checked_at": "2026-10-28T02:27:13.703Z",
    "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://github.com/RyoJerryYu/mcp-server-memos-py"
  ],
  "last_checked": "2026-10-28",
  "profile_checked": null,
  "price_checked": "2026-10-28",
  "how_to_connect": {
    "website": "https://github.com/RyoJerryYu/mcp-server-memos-py",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "uvx \" , \"args\" : [ \" mcp-server-fetch \" ] }, \"memos\" : { // add this to your config",
    "repository": "https://github.com/ryojerryyu/mcp-server-memos-py",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "uvx \" , \"args\" : [ \" mcp-server-fetch \" ] }, \"memos\" : { // add this to your config",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "MCP plugins. { ..., \"mcpServers\" : { \"fetch\" : { // other mcp servers \"command\" : \" uvx \" , \"args\" : [ \" mcp-server-fetch \" ] }, \"memos\" : { // add this to your config \"",
      "url": "https://github.com/RyoJerryYu/mcp-server-memos-py",
      "observed_day": "2026-10-27",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"ntext-protocol usememo Resources Readme MIT license Activity Stars 21 stars Watc\"",
    "observed_day": "2026-10-27",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-07-10",
      "age_days": 111,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "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": 90,
    "uptime_7d": 1,
    "checked_at": "2026-10-28T02:40:25.083Z",
    "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."
}