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SpeakeasyvsMintive

Both run hooks inside coding agents and govern the gateway. Speakeasy attaches a principal from your directory to every step and applies its own detectors, on macOS, Windows, and Linux. Mintive (formerly MintMCP) mints agent identities inside Mintive and routes blocking to the DLP you already run.

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Which should you pick, Speakeasy or MintMCP?

Pick Speakeasy when agent identity must live in your identity provider, when you need a shadow MCP posture with a request-access flow, when your fleet includes Linux, or when ISO 27001 is a requirement. Pick MintMCP when you want a managed MCP store with hosted connectors and self-serve onboarding, when GitHub Copilot CLI is in the fleet, when your security team already runs Bedrock Guardrails, Model Armor, or Teleskope and wants MCP traffic screened by that DLP, or when your agents should authenticate with workload identity federation tokens minted by your own infrastructure.

Pick it when

Agent identity must live in your identity provider, you need a shadow MCP posture with a request-access flow, your fleet includes Linux, or ISO 27001 is a requirement.

Mintive

You want a managed MCP store with hosted connectors and self-serve onboarding, GitHub Copilot CLI is in the fleet, or your security team already runs Bedrock Guardrails, Model Armor, or Teleskope.

Governance

Agents run as principals in the identity provider you already have, Okta or Entra, with the grant checked on every call.

Mintive

Agent identities are created inside Mintive and authenticate with bearer keys, M2M tokens, or workload identity, with no matching record in the IdP.

Security

Hooks inside the agent on the prompt, the tool call, the file read, and the shell command, plus six inspection layers at the gateway, on macOS, Windows, and Linux.

Mintive

Agent Monitor hooks in Claude Code, Cursor, Codex, Cowork, and GitHub Copilot CLI, Mint Guard screening at the gateway, and blocking routed to the DLP you already run. Hooks reach macOS and Windows; Linux is not covered.

Enablement

Your agents, your identity, your APIs. MCP servers are generated from the API contract your teams already maintain, with evidence to Drata, Vanta, and your SIEM.

Mintive

Servers you already have, hosted on Mintive infrastructure behind a Virtual MCP store, with no documented path from an API contract to a server.

Both products as published in August 2026. We build Speakeasy, so read us as an interested party. Every claim about Mintive links to a primary source in the in-depth comparison. Read the in-depth comparison.

Who is the agent, at every step?

Both check a role on every tool call, at the gateway and inside the agent. Speakeasy attaches a principal from your directory, so people and agents share one permission model. Mintive mints an agent identity inside Mintive, with no matching record in the identity provider.

Speakeasy
  1. OktaMicrosoft Entra IDOkta or Entra
  2. Directory principal
  3. Grant checked per call
  4. Call stamped with directory state

Identity lives in

Your identity provider

  • Directory identity attached inside the agent, on every step
  • People and agents share one permission model
  • A denied call opens the grant that would allow it
Mintive
  1. SSO and SCIM
  2. Agent identity, created in Mintive
  3. Bearer key, M2M token, or workload identity
  4. Bound to its own Virtual MCP

Identity lives in

Inside Mintive

  • Agents cannot log in through SSO and have no matching IdP record
  • Org-wide admins bypass Virtual MCP access policies

Both see the loop. Detection is the difference.

Mintive's Agent Monitor hooks capture file reads, commands, tool calls, and prompts in Claude Code, Cursor, Codex, Cowork, and GitHub Copilot CLI, and route blocking and masking to the DLP you already run. Speakeasy's hooks cover the same loop in OpenCode too, apply its own detector catalog and natural-language guardrails, and enforce on Linux through the device agent.

7 inspection layers
  • 01Hooks inside the agent: prompt, tool call, file read, shell command
  • 02Server review with evidence dossier
  • 03Prompt-injection heuristic
  • 04LLM judge
  • 05Natural-language guardrails, replayed before enforcement
  • 06CEL detection rules
  • 07Destructive-action detection
Mintive4 inspection layers
  • 01Agent Monitor hooks, inside the agent
  • 02Admin approval from catalog
  • 03Mint Guard managed screening
  • 04Regex rules and JavaScript middleware to external DLP

Prompts before the model sees them

Hooks in five coding agents
Agent Monitor hooks; Claude inference hooks on claude.ai, Cowork, Claude Code

Local tool calls, file reads, shell commands

PreToolUse hooks, destructive-action detection
Agent Monitor hooks capture file reads, commands, tool calls

Endpoint enforcement

macOS, Windows, Linux
Hooks pushed through MDM to macOS and Windows

Tool calls at the gateway

Inline scanners on request and response
Mint Guard screening on Virtual MCP endpoints

Sensitive-data detectors

Secrets, financial, PII, government IDs, healthcare
Credentials, PII, harmful content; log only

Provider compliance API imports

Anthropic, OpenAI, Cursor
Not documented

Default log retention

90 days
7 days

External DLP integration

Bedrock Guardrails, Model Armor, Teleskope

Organization-wide kill switch

  • Offered
  • Partial, beta, or detect only
  • Not offered or not documented

Govern what your team already runs.

Speakeasy governs the agents your teams already run, the directory you already have, and the APIs your teams already maintain, from the inside. Mintive governs what you bring onto Mintive: servers you already have, hosted on its infrastructure behind a Virtual MCP store, and agent identities minted inside it.

Speakeasy
Your agents
Claude CodeClaude CoworkCursorCodexOpenCode
Your identity
OktaMicrosoft Entra ID
Your stack
GitHubSlackLinearNotionSnowflakeJamf
  • MCP servers generated from the API contract your teams maintain
  • Catalog drawn from the official MCP Registry
  • Coverage evidence to Drata and Vanta, events to your SIEM
Mintive
Agents
Agent identitiesCoworker Agents
Hosting
Hosted connectorsSTDIO · Docker · CLI
Catalog
Recommended catalogVirtual MCP store
  • Servers you already have, hosted on Mintive infrastructure
  • No documented path from an API contract to a server
  • Streams to OTLP and Splunk HEC

The MCP server we built using Speakeasy just works. It made becoming AI-native much simpler than we expected.

Constantine Nathanson

Staff Software Engineer, Cloudinary

Cloudinary

Questions

What is the difference between Speakeasy and Mintive?

Both authenticate, authorize, scan, and log MCP tool calls, and both run hooks inside coding agents. The difference is whose identity the loop runs as and who authors detection. Speakeasy resolves people and agents to principals in your identity provider, applies its own detector catalog and natural-language guardrails, and generates custom MCP servers from your API contracts. Mintive mints agent identities inside Mintive, routes blocking and masking to the DLP you already run through JavaScript middleware, and hosts servers you already have on its infrastructure from STDIO configurations or Docker images.

Whose identity does an AI agent run as in Speakeasy vs Mintive?

In Speakeasy, an agent runs as the directory user behind the session or as an Agent Identity, which syncs from providers that model agents natively, such as Entra Agent ID, or is created in Speakeasy when the provider has no such concept. Agent Identity is in early access. In Mintive, an agent runs as an agent identity created by an admin inside Mintive, authenticating with bearer keys, machine-to-machine tokens, or OIDC workload identity federation, and bound to its own Virtual MCP. Mintive does not provision a matching record in Okta or Entra.

Does Mintive generate MCP servers from an OpenAPI document?

No. Mintive's documented paths are approving servers from its recommended catalog, connecting a remote MCP by URL, or hosting a server you already have as a STDIO configuration, Docker image, or CLI deployment on Mintive-managed infrastructure. There is no documented path from an API contract to a governed MCP server. Speakeasy generates governed MCP servers directly from the OpenAPI documents your teams already maintain.

When is Mintive a better choice than Speakeasy?

Pick Mintive when you want a managed MCP store with hosted connectors and self-serve onboarding, when laptop-level monitoring of coding agents including GitHub Copilot CLI is the priority, when you want MCP traffic screened by the DLP classifier your security team already runs through JavaScript middleware, or when your agents should authenticate with workload identity federation tokens minted by your own infrastructure.

Do both Speakeasy and Mintive run hooks inside coding agents?

Yes. Mintive's Agent Monitor installs hook scripts in Claude Code, Claude Cowork, Cursor, Codex, and GitHub Copilot CLI that capture file reads, command execution, MCP tool calls, and prompts before they happen, deployed by hand or through MDM to macOS and Windows. Speakeasy's hooks run in Claude Code, Claude Cowork, Cursor, Codex, and OpenCode, apply Speakeasy's own detectors and natural-language guardrails, attach a directory principal to every step, and pair with a device agent that enforces on macOS, Windows, and Linux.

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