Speakeasy
Securely manage MCPs, skills, and AI agents across your company. Prevent data leaks, enforce policies, and gain full observability. Trusted by enterprises.
Editor's Verdict
Key Takeaways
- AI Control Plane
- Connect
- Secure
- Distribute
In-Depth Review: What is Speakeasy?
Speakeasy is the enterprise control plane for AI, enabling organizations to centrally manage and govern MCP servers, skills, and AI assistants. With fine-grained permissions, real-time threat detection, and comprehensive observability, Speakeasy helps teams safely scale AI adoption. Connect internal APIs and SaaS tools, enforce security policies, and distribute AI access across teams—all from a single platform. Trusted by companies like Fivetran and LaunchDarkly, Speakeasy ensures AI tools are used securely, compliantly, and effectively.
Core Features
AI Control Plane
Centralized platform to securely manage MCPs, Skills, and Assistants across the enterprise with fine-grained permissions, threat detection, and full observability.
Connect
Single control layer connecting AI to SaaS, APIs, and internal systems with pre-built integrations, OAuth 2.1, and role-based access.
Secure
Real-time detection and blocking of PII leaks, secrets, prompt injections, and shadow AI tools. Full audit trail and SOC 2/ISO 27001 compliance.
Distribute
Automated provisioning of AI tools with OAuth 2.1, scoped RBAC, and identity provider integration for quick, controlled rollout.
Observe
Track AI usage, adoption, costs, and tool effectiveness across teams with real-time logs, distributed tracing, and session tracking.
Cost Control
Monitor and manage AI spend per agent with total spend, agent sessions, tool calls, and risk findings dashboards.
Pricing
Connect
- SaaS catalog integrations
- Custom server creation
- Code mode efficiency
- Serverless hosting
- OAuth 2.1 proxy + DCR
- Automatic provisioning
- Scoped RBAC controls
- Full audit trail
- Real-time logs
- Distributed tracing
- Session tracking
- User analytics
- SLA-backed support
- Dedicated FDE support
- Concierge onboarding
- Dedicated support channel
Enterprise
- OpenAPI import
- Default toolset creation
- Custom toolset creation
- Tool curation
- Custom tool creation
- Response filtering
- Multi-tool workflow builder
- Custom prompt creation
- LLM playground testing
- Provided API credentials
- Standard OAuth
- BYO authorization server
- OAuth 2.1 proxy + DCR
- Public / private server control
- Custom domain support
- Version tracking
- SSO
- Audit logs
- Support channels
- Priority Slack + Teams + chat + email
- Early feature access
- Service SLAs
- Support SLAs
- Concierge onboarding
- Legal + security reviews
Pros and Cons
Pros
- Centralized GovernanceSingle platform to manage all AI tools, MCP servers, and agents with consistent policies and access control.
- Real-Time SecurityDetects and blocks PII leaks, prompt injections, and shadow AI tools in real time, with full audit trail.
- Fast RolloutAutomated provisioning and OAuth 2.1 enable quick, secure AI deployment across teams from day one.
- Full ObservabilityTrack usage, costs, and effectiveness per team, tool, and user to measure ROI and scale what works.
- Enterprise ReadySOC 2 Type II, ISO 27001, GDPR compliant, self-hosting, and dedicated support for large organizations.
Cons
- Pricing Not PublicNo transparent pricing available; requires contacting sales, which may deter small teams.
- Complex SetupMay require significant integration effort with existing identity providers and internal systems for full benefits.
- Dependency on PlatformReliance on Speakeasy for AI governance could create vendor lock-in over time.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
Needs to connect AI agents and tools to internal APIs and MCP servers securely without manual auth plumbing.
Security Engineer→ View Toolkit
Requires real-time monitoring and prevention of data leaks, prompt injections, and unauthorized AI tool usage.
IT Administrator→ View Toolkit
Must roll out AI tools across the organization with role-based access, automated provisioning, and compliance.
Product Manager→ View Toolkit
Needs to track AI adoption, measure tool effectiveness, and prove ROI to leadership.
CTO / VP of Engineering→ View Toolkit
Looking to scale AI safely across teams while maintaining control over security, cost, and compliance.
Data Engineer→ View Toolkit
Uses MCP servers and skills to give AI agents access to databases and data pipelines with governance.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of Speakeasy were synthesized using AI and fact-checked by our curation team to ensure accuracy.
