COMPLEMENTARYThis isn't an adversarial comparison. HasMCP + Visionality solve different problems. If you're using both, you're doing it right.
HasMCP + Visionality
HasMCP generates the tools. Visionality governs the calls.
HasMCP turns your existing OpenAPI services into MCP servers so AI agents can call them. Visionality sits in front of those calls with allowlist + RBAC + attestation + spend tokens + PII pre-flight + chargeback CSV + SOC 2 evidence pack. Different problems, no overlap. HasMCP is HasMCP's OSS positioning available today; Visionality is currently in stealth with a Lite edition planned. Design partners can deploy them together in an afternoon.
Two problems, two products
What each project actually does.
We link to HasMCP's public docs and community edition directly. Visionality is currently in stealth; design-partner access is by invitation. Their positioning is theirs; ours is ours. Read both and decide.
TOOL GENERATION
HasMCP
Generates MCP servers from your OpenAPI specs so agents can call your APIs.
- Instant tool generation from OpenAPI 3.x
- JMESPath filters + Goja JavaScript interceptors for response pruning
- Wrapper Pattern for dynamic tool discovery
- Self-hosted community edition (hasmcp-ce) available today
- Zero-code approach for teams with existing OpenAPI catalogs
CALL GOVERNANCE
Visionality
Governs the AI calls (including MCP tool calls) with cost + audit + compliance.
- Spend-token envelope with budget cap signed in (fast-fail 402 before LLM call)
- MCP allowlist + RBAC + attestation cluster (Axis-2 hardening)
- 12-detector PII pre-flight, fail-closed
- Per-project chargeback CSV with GL codes joinable to your accounting system
- SOC 2 + ISO 27001 + ISO 42001 + NIST AI RMF evidence pack
- Currently in stealth · open-source Lite edition planned post-stealth
Who owns what
A responsibility taxonomy, not a feature comparison.
Feature comparisons imply competition. This is a responsibility map — for each thing an MCP + AI-agent system needs to do, who owns it. Sometimes both projects cover it partially. Sometimes neither does and you build glue. We're trying to be honest.
| Responsibility | HasMCP | Visionality |
|---|---|---|
| Turn my OpenAPI service into an MCP tool | Yes — this is the core product | No — not what we do |
| Filter / transform the tool response before returning to agent | Yes — JMESPath + Goja interceptors | No — we sit outside the tool boundary |
| Discover which tools an agent has access to | Yes — Wrapper Pattern for dynamic discovery | Partial — we track the allowlist per org × MCP server |
| Enforce which tools THIS agent can call THIS session | No — trust-the-caller model at the tool layer | Yes — MCP-CAPABILITY-ALLOWLIST + MCP-RBAC-PER-TOOL primitives |
| Cryptographically verify the MCP server's identity | No — HTTP-level trust | Yes — MCP-SERVER-ATTESTATION with JWK trust store |
| Scan tool responses for PII / secret leaks before returning | No — that's application-layer concern | Yes — MCP-TOOL-RESULT-CLASSIFICATION scan |
| Attribute each tool call to a person + project + budget | No — not a governance product | Yes — spend-token envelope with agent_sub + task metadata |
| Enforce a hard budget cap that fast-fails before the LLM runs | No — not in scope | Yes — budget binding signed into the envelope, 402 offline-verified |
| Generate SOC 2 / ISO / NIST AI RMF audit evidence | No — not a compliance product | Yes — continuous-evidence pack across four frameworks |
Deploy together
An afternoon, four steps.
HasMCP has an Apache-adjacent community edition with a docker install today. Visionality is in stealth today; the Lite edition is planned post-stealth. Deploy them side-by-side and you have an MCP-native AI stack with tool generation, call governance, cost control, and compliance evidence — all free-tier.
Deploy HasMCP
Follow HasMCP's install for the community edition — generates MCP servers from your existing OpenAPI catalog. Now your agents can call your APIs.
Get Visionality (currently: design-partner access)
Request design-partner access. During stealth, Visionality is hosted on our infra; the open-source Lite edition planned for post-stealth public launch will ship a curl | bash installer.
Point your agent's LLM calls at Visionality
Same wire-level surface as Anthropic / OpenAI / Google. Your existing SDK code works unchanged. Visionality sits in front of the AI provider; your agent uses HasMCP-generated tools as normal.
Configure the policy layer (optional)
Register your HasMCP-generated MCP servers in Visionality's allowlist. Now Visionality knows which tools each org can call, applies RBAC per role, and can require server attestation. HasMCP still owns tool generation and response filtering — Visionality just governs which calls are permitted.
Honest take
When HasMCP alone is enough.
If you're a solo developer or a small team building an internal agent, running trusted first-party APIs, with no CFO asking about AI cost attribution, no CHRO worried about identity lifecycle, no CISO evaluating jailbreak risk, and no SOC 2 auditor on your calendar — HasMCP alone probably covers what you need. Their community edition is genuinely useful, and adding a governance layer for its own sake would be premature.
You need Visionality when: (a) your AI costs became a line-item on the CFO's report, (b) your compliance auditor started asking for AI evidence, (c) a spend surprise ate a Friday afternoon, (d) HR needs to prove revocation was immediate when someone left, or (e) your MCP-tool footprint grew past what "trust the caller" can cover.
Which is to say: HasMCP is upstream of the governance question. You use HasMCP to make your APIs callable. Then when governance starts mattering, you add Visionality in front. The two projects don't compete for the same budget or the same buyer.
Try Visionality alongside HasMCP.
HasMCP is Apache-adjacent OSS with a free community edition today. Visionality is currently in stealth — request a design-partner demo below. When the Lite edition ships, curl | bash will get you a governance layer in front of your MCP stack in 15 minutes.