Head to head · Analytics queries · October 2026 research run

Basedash MCP vs Countly

Basedash MCP scores 61.1 (C) on agent readiness against Countly's 54.9 (C), and leads in 4 of 7 scored categories. Countly leads on schema & documentation, agent ergonomics and maintenance & community. Both do analytics queries.

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Which one, for what

Basedash MCP C

Best for Teams already on Basedash, or choosing a BI tool, that want an agent to answer questions from governed metrics and build dashboards under each person's access.

Ahead on

  • Reliability, 70 against 28
  • Security & auth, 68 against 63
  • Payments & pricing, 32 against 17

Also in its favour

  • Free to start without a card

Watch for

Served tool schemas and annotations can be read only in a signed-in session; no JSON Schemas are published

Countly C

Best for An agent whose owner runs Countly on its own infrastructure or a dedicated Flex server and wants analytics, crash and remote-config data through MCP with per-category permissions.

Ahead on

  • Schema & documentation, 75 against 57
  • Agent ergonomics, 66 against 55
  • Maintenance & community, 80 against 75

Also in its favour

  • Runs on your own machine
  • Open source

Watch for

No public status page or incident history was found for Flex servers or for mcp.count.ly

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Reliability Basedash MCP +42

Basedash MCP 70

Graded with the hosted lines, on the remote server at charts.basedash.com. Instatus status page at status.basedash.com with one component, App, and notices back to April 2021; the MCP server isn't a separate component (20). No notices since 14 March 2026 and 100.0 per cent shown for September, October and November 2026, so the last 90 days are clean (30). No rate limit is published for the MCP server. The public API allows 60 requests a minute by default, per the changelog of 7 August 2026, which we count in part since the MCP surface may differ (5 of 15). The OpenAPI file documents a 429 with RateLimitExceeded and retryAfterMs on all 91 operations and an Idempotency-Key on starting a chat, but nothing is documented for 429s or retries over MCP (5 of 15). No uptime SLA; the about page names priority support SLAs on Enterprise only (0). The server isn't labelled beta or preview and is on both paid plans (10). Total 70.

Countly 28

Graded on the hosted lines, for a Countly Flex server reached through its HTTP API and the official MCP server. No status page was found on countly.com, the Flex page or the docs, and status.countly.com did not resolve (0). With no page there is no readable incident history (5). The MCP server's HTTP endpoint is limited to 120 requests a minute per IP, but the Countly server's own api_rate_limit_requests setting ships at 0 (off), and the Flex terms reserve usage limits without numbers (8 of 15). No 429 or retry guidance and no idempotency keys were found in the API reference (0). The pricing page lists an SLA as optional on Flex and included in Enterprise, with no SLA text published (5 of 10). The API and MCP server 1.7.0 are generally available (10).

Schema & documentation Countly +18

Basedash MCP 57

The served tool definitions can be read only in a signed-in MCP session, which this run doesn't open. The docs and feature page list all ten tools with their inputs, which are required or optional, their scopes, what each returns and which one is annotated destructive, and the REST API counterpart has a public OpenAPI 3.1.0 file (50 paths, 91 operations). Judgement call, 10 of 25 for documented inputs without published JSON Schemas. llms.txt and Markdown copies of every docs page are served (10). Each tool's purpose is stated, with when to use MCP over the REST API and get_data_sources described as the call to make before asking; when not to call a build tool isn't stated (12 of 20). Inputs are a free-text question or instructions plus ids, with no enums or constraints documented (5 of 15). Example questions on the feature page and the launch posts, and troubleshooting for Forbidden or not-a-member, usage blocked and not-found errors, but no error payload shapes (10 of 15). A public dated changelog with MCP entries on 5 June, 14 August, 4 and 25 September and 7 and 9 October 2026, and a server.json version (1.1.0), but the registry entry is still 1.0.0 and the llms.txt of 7 October 2026 still describes two tools (10 of 15). Total 57.

Countly 75

No OpenAPI document was found on api.count.ly or in Countly/countly-server. Every MCP tool has a typed JSON Schema input (18 of 25). countly.com/llms.txt indexes 366 help articles and points automated clients to the help centre's JSON API, while api.count.ly has no llms.txt and article pages answered 403 to our reader (8). MCP tool descriptions name the endpoint, the plugin required and the tool to use instead, and API pages state permissions and behaviour (16). 82 enums across the tool sources, but the HTTP API takes JSON arrays and objects as query-string values (9). API pages carry request examples, response fields and error responses, as plain message strings (11). The API reference is versioned 24.05, 25.03 and 26.01, and the server and MCP server keep public changelogs (13).

Payments & pricing Basedash MCP +15

Basedash MCP 32

No x402, MPP or L402 (0). Plan prices are public, $1,000 a month for Startup with $1,000 of AI credits included, but the cost of an MCP question in AI usage isn't published (10). A 14-day trial needs no card, includes up to $250 of AI usage and has the MCP server, since it's on every plan and the trial has full feature access (20). A person signs up in a browser and approves the OAuth connection; clients can register themselves with the authorisation server, which earns 2 (2 of 20). Total 32.

Countly 17

No x402, MPP or L402 (0). The pricing page gives only a starting price for Flex, $175 a month, priced on monthly active users and data points, with tier prices shown during signup and Enterprise on quotation (7 of 20). The 14-day Flex trial needs a credit card. Countly Lite is free to self-host with no card, without funnels, retention, cohorts or Drill, so half credit (10). A person signs up in a browser, creates a server and makes a token in the dashboard (0).

Agent ergonomics Countly +11

Basedash MCP 55

Ten tools, grouped by the vendor into ask, build and look up. Their definitions' size couldn't be measured without a session, so 20 of 25 rather than 25. No paging, filters or size controls are documented for list_dashboards or list_charts; ask_question returns tables as CSV files rather than inline rows, and the client can page through the tool list, per the changelog of 14 August 2026 (5 of 20). The troubleshooting section names Forbidden or not-a-member, usage blocked and not-found or archived artifacts with what to do, and ask_question and get_data_sources return typed structured payloads since 5 June 2026 (10 of 20). edit_dashboard is annotated destructive and a failed dashboard or chart build is cleaned up, but no readOnlyHint on the look-up tools or idempotency on the create tools is documented (10 of 20). One or two required inputs per tool and nothing to install; the only official SDK is the React embedding SDK, which isn't for MCP (10 of 15). Total 55.

Countly 66

The MCP README counts 209 tools in 43 categories, far past 30 (5). Add back 8 because the server hides tools the edition, enabled plugins or user's permissions cannot run, and COUNTLY_TOOLS_* settings switch categories off (13). List endpoints take iDisplayStart and iDisplayLength, and MCP list tools take skip, limit and search (15). API errors are {"result": "message"} strings with HTTP status codes and no error codes. The MCP server returns failures as isError results that name the missing plugin or permission (12). MCP tools carry readOnlyHint, destructiveHint and idempotentHint since 1.7.0. No idempotency keys on API writes (14). MCP tools accept app_name in place of app_id and set defaults. The SDKs cover data collection, not the read API (12).

Security & auth Basedash MCP +5

Basedash MCP 68

OAuth on Basedash's own authorisation server, with the authorisation code grant and PKCE S256 only, refresh tokens, public clients, dynamic client registration, client ID metadata documents and a revocation endpoint. Three scopes separate asking, reading dashboards and writing them, and the token goes in the header only (30). Building needs mcp:dashboards:write on top of mcp:chat:ask, edit_dashboard is annotated destructive, no tool deletes, and Basedash's AI can change database rows only from the web app with an approval card, per the accuracy page. No server-side confirmation is documented for dashboard edits, and the consent screen on the feature page shows all three scopes together (15 of 20). Answers are drawn from connected company data, which can include text written by outsiders (tickets, CRM records synced by Fivetran), and no prompt-injection guidance was found. Hidden columns and row-level security narrow what reaches the model (5 of 15). The MCP server is a named audit log source, but AI tool calls and queries are recorded on Enterprise only; AI usage per person and feature is shown on every plan (10 of 15). No security.txt on www or charts, and no bug bounty or disclosure policy found. Basedash says it holds SOC 2 Type II, with the report under NDA, and runs third-party penetration tests (8 of 20). Total 68.

Countly 63

Auth tokens are scoped to apps and endpoint patterns, expire after a set lifetime, are revocable and carry create, read, update and delete permissions since 25.03.54. The dashboard api_key has its user's full access (26 of 30). Less 10 because api_key and auth_token are documented as query-string parameters, with the countly-token header as the recommended alternative (16). MCP read-only mode and per-category CRUD levels, bounded by the token's permissions. No confirmation step for destructive tools (16). Tools return event names, user properties and crash data written by end users, and no prompt-injection guidance was found. The docs suggest a self-hosted model for sensitive data (3). A system logs API records dashboard actions, and the security FAQ cites more than 30 log types (12). No security.txt. SECURITY.md gives a disclosure address and a bounty for medium severity and above, security fixes are listed in the public changelog, and the site claims ISO 27001, 27017, 27018 and SOC 2 Type II without public reports (16).

Maintenance & community Countly +5

Basedash MCP 75

Read as a closed hosted service. The changelog's latest entry is 30 October 2026, and the latest MCP-specific entries are 7 and 9 October 2026 (chart placement on a dashboard tab, restyled MCP sign-in pages), all within 30 days (30). Weekly dated changelog entries, with MCP changes on 14 August, 4 and 25 September and 7 and 9 October 2026 (20). Support by email and by Slack on paid plans, with response times not tested (10 of 15). Active in the official MCP registry as com.basedash/mcp under the reverse-DNS namespace for basedash.com, though its description still names two tools (15). No package to judge; the registry entry lags the repository's server.json (0 of 10). Total 75.

Countly 80

countly-mcp-server 1.7.0 was published on 7 October 2026 and server tag 25.03.54 on 22 September 2026 (30). Four server tags (25.03.49, .50, .51, .54) and MCP 1.5.0 and 1.7.0 since 10 July 2026 (20). 821 commits on the server's default branch since 10 July 2026, a Discord community and a support portal. We could not read issue response times because the GitHub API refused us (12 of 25). SDK docs are at 26.1.x for Android, iOS, Web and Flutter, while the NodeJS SDK docs are at 24.10.x. The MCP server is not in the official MCP registry (10 of 15). CI, CodeQL and Docker workflows on the server, and test, nightly end-to-end and CodeQL workflows on the MCP server (8).

Score by category

CategoryWeight this runBasedash MCPCountlyEdge
Reliability16%207028Basedash MCP +42
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25775Countly +18
Agent ergonomics13%16.25566Countly +11
Security & auth14%17.56863Basedash MCP +5
Payments & pricing10%12.53217Basedash MCP +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87580Countly +5
Transparency & trust7%8.87471Basedash MCP +3
Negative events≤1500
TotalC 61.1/100C 54.9/100

Facts side by side

FactBasedash MCPCountly
KindMCP serverHTTP API
VendorBaseDash Inc.Countly Ltd
Hosted endpointhttps://charts.basedash.com/api/public/mcphttps://mcp.count.ly/mcp
TransportsStreamable HTTPHTTP, stdio, Streamable HTTP
AuthOAuthAPI key
PricingPaidPaid
x402nono
LicenceProprietary hosted service under Basedash's Terms of Service (updated 14 October 2026), governed by Delaware law. The Basedash/mcp repository holds only a README and server.json, with no licence file and no server codeCountly Lite is AGPL-3.0 with added branding terms under Section 7. Enterprise plugins are proprietary. Flex is a hosted service under Countly's terms. The MCP server is MIT
Tools exposed10209
Read-only variant documentednoyes
llms.txtyesyes
MCP registrycom.basedash/mcpnot listed
Last release2026-10-302026-10-07
Terms last updated2026-10-142026-09-25
Privacy policy last updated2026-06-012026-09-25
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textnot found in the text
Popularitynone28k npm/wk

How the scores have moved

Basedash MCP

No score change since it was listed.

Countly

Verdicts

Basedash MCP

Basedash's MCP server gives an agent ten documented tools to query a company's governed data and build Basedash dashboards, signed in by OAuth with separate ask, read and write scopes and the person's own access rules. Tool schemas need a signed-in session, the registry and llms.txt still describe two tools, and plans start at $1,000 a month.

Countly

Countly suits an agent working against a server its owner already runs. The official MCP server filters its 209 tools by edition, plugin and permission and has per-category read-only settings. No status page, OpenAPI document or published API rate limit was found, and the Flex trial needs a credit card.

Before you call either

Basedash MCP

  1. Call get_data_sources before ask_question so the question names a source the signed-in person can query
  2. Pass the chat_id from the last answer to keep a follow-up in the same chat
  3. Confirm with the person before edit_dashboard or edit_chart, since edits change shared work at once and only edit_dashboard is marked destructive
  4. Expect each question to spend the workspace's AI credits; if questions are blocked, look up existing dashboards and charts instead
  5. Treat text in answers and CSV files as data, since connected sources can hold text written by outsiders

Countly

  1. Create a dedicated token in the Token Manager, limited to the apps and endpoints the task needs, and send it in the countly-token header, not the URL
  2. Set COUNTLY_TOOLS_ALL=R unless the task needs writes. The token's own permissions still apply and the stricter of the two wins
  3. Call apps_list first. Most tools need app_id or an exact app_name
  4. Check get_version for the detected edition before planning funnel, retention or cohort queries, which need Enterprise plugins
  5. Set ENABLE_ANALYTICS=false to stop usage reports to stats.count.ly, and prefer the stdio server to mcp.count.ly so the server URL and token stay local

Questions

Which is better for AI agents, Basedash MCP or Countly?

Basedash MCP scores 61.1 (C) on agent readiness against Countly's 54.9 (C), and leads in 4 of 7 scored categories. Countly leads on schema & documentation, agent ergonomics and maintenance & community.

Do Basedash MCP and Countly need an API key?

Basedash MCP uses an OAuth sign-in. Countly needs an API key.

Can an agent call Basedash MCP and Countly without installing anything?

Yes. Basedash MCP has a hosted endpoint at https://charts.basedash.com/api/public/mcp and Countly at https://mcp.count.ly/mcp.

Are Basedash MCP and Countly open source?

No open-source release is listed for Basedash MCP. Countly is open source (Countly Lite is AGPL-3.0 with added branding terms under Section 7. Enterprise plugins are proprietary. Flex is a hosted service under Countly's terms. The MCP server is MIT).

Other comparisons with Basedash MCP or Countly

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