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Connector Capability Matrix

This page is the quick-reference matrix for engineers deciding which AxonFlow MCP connectors to use in a real system. It complements the individual connector guides by putting the practical questions in one place:

  • Which connector types exist in the current codebase?
  • Which ones are available in community builds versus enterprise builds?
  • Which auth model does each connector usually need?
  • Which connectors are best for local development, evaluation, or broader enterprise rollout?

If you are planning a serious multi-agent or governed retrieval system, this page is usually faster than opening ten separate connector pages first.

How To Read The Matrix

  • Edition refers to current build-path availability in the runtime.
  • Auth model is the most common credential pattern, not every possible option.
  • Runtime fit is the typical starting environment where the connector makes operational sense.
  • Capabilities summarizes the high-level operations the connector exposes through MCP.

Connector Matrix

Connector typeCategoryEditionTypical auth modelRuntime fitCommon capabilities
postgresDatabaseCommunityconnection string or user/passwordlocal, self-hosted, evaluation, enterprisequery, execute
mysqlDatabaseCommunityconnection string or user/passwordlocal, self-hosted, evaluation, enterprisequery, execute
mongodbDatabaseCommunityMongo URIlocal, self-hosted, evaluation, enterprisequery, execute
cassandraDatabaseCommunityhost/user/passwordevaluation, enterprisequery, execute
redisCache / dataCommunityURI or host/passwordlocal, self-hosted, evaluation, enterprisequery, execute
httpAPICommunitybearer token, API key, or custom headerslocal, evaluation, enterprisequery, execute
s3Object storageCommunityIAM role, access keysevaluation, enterprise, AWS-heavy teamsquery, execute
azure_blobObject storageCommunityaccount key, SAS, managed identityevaluation, enterprise, Azure estatesquery, execute
gcsObject storageCommunityservice account or workload identityevaluation, enterprise, GCP estatesquery, execute
amadeusSaaS / travelEnterpriseOAuth client credentialsenterprisequery, execute
salesforceSaaS / CRMEnterpriseOAuthenterprisequery, execute
slackSaaS / collaborationEnterprisebot token / app tokenenterprisequery, execute
snowflakeData warehouseEnterpriseuser/password, key pair, or DSNenterprisequery, execute
hubspotSaaS / CRMEnterpriseOAuth or private app tokenenterprisequery, execute
jiraSaaS / ticketingEnterprisePAT or OAuthenterprisequery, execute
servicenowSaaS / ITSMEnterpriseuser/password or OAuthenterprisequery, execute

What The Current Runtime Actually Registers

On current main, the community connector factory registers:

  • postgres
  • mysql
  • mongodb
  • cassandra
  • redis
  • http
  • s3
  • azure_blob
  • gcs

Enterprise build paths add:

  • amadeus
  • salesforce
  • slack
  • snowflake
  • hubspot
  • jira
  • servicenow

That means object-storage connectors are no longer just an enterprise teaser in the runtime itself. They are part of the current community connector estate and should be considered first-class options for governed document and file workflows.

Choosing The Right Connector Set

If you are validating AxonFlow quickly

Start with:

  • postgres or mysql for structured data
  • http for internal APIs
  • s3 if your workflow revolves around documents or generated artifacts

This gives you enough surface area to prove policy enforcement, response redaction, and auditability without taking on SaaS admin complexity too early.

If you are preparing for a broader rollout

The signal that you are moving beyond a simple community setup is usually one of:

  • more than one business system has to be governed
  • files and records need the same policy posture
  • the platform becomes shared across multiple teams
  • procurement and identity constraints matter as much as raw connectivity

That is where Community vs Evaluation vs Enterprise and Community To Enterprise Migration become more important than the individual connector page alone.

Operational Advice