Search / io.tesseraai/mcp-server
Tessera MCP Server
L0· runs locallyMCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations.
v0.1.2 · active · repository · website · descriptor JSON · versions
Search / io.tesseraai/mcp-server
L0· runs locallyMCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations.
v0.1.2 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"tesseraai": {
"command": "npx",
"args": [
"-y",
"@tessera-llm/[email protected]"
],
"env": {
"TESSERA_API_KEY": "${TESSERA_API_KEY}",
"TESSERA_UPSTREAM_API_BASE_URL": "https://ledger.tesseraai.io"
}
}
}
}claude mcp add tesseraai -e "TESSERA_API_KEY=${TESSERA_API_KEY}" -e "TESSERA_UPSTREAM_API_BASE_URL=https://ledger.tesseraai.io" -- npx -y @tessera-llm/[email protected][mcp_servers.tesseraai]
command = "npx"
args = ["-y", "@tessera-llm/[email protected]"]
env = { "TESSERA_API_KEY" = "${TESSERA_API_KEY}", "TESSERA_UPSTREAM_API_BASE_URL" = "https://ledger.tesseraai.io" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"tesseraai": {
"type": "local",
"command": [
"npx",
"-y",
"@tessera-llm/[email protected]"
],
"enabled": true,
"environment": {
"TESSERA_API_KEY": "{env:TESSERA_API_KEY}",
"TESSERA_UPSTREAM_API_BASE_URL": "https://ledger.tesseraai.io"
}
}
}
}{
"mcpServers": {
"tesseraai": {
"command": "npx",
"args": [
"-y",
"@tessera-llm/[email protected]"
],
"env": {
"TESSERA_API_KEY": "${TESSERA_API_KEY}",
"TESSERA_UPSTREAM_API_BASE_URL": "https://ledger.tesseraai.io"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=tesseraai&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkB0ZXNzZXJhLWxsbS9tY3Atc2VydmVyQDAuMS4yIl0sImVudiI6eyJURVNTRVJBX0FQSV9LRVkiOiIke1RFU1NFUkFfQVBJX0tFWX0iLCJURVNTRVJBX1VQU1RSRUFNX0FQSV9CQVNFX1VSTCI6Imh0dHBzOi8vbGVkZ2VyLnRlc3NlcmFhaS5pbyJ9fQ%3D%3D"
}{
"servers": {
"tesseraai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@tessera-llm/[email protected]"
],
"env": {
"TESSERA_API_KEY": "${TESSERA_API_KEY}",
"TESSERA_UPSTREAM_API_BASE_URL": "https://ledger.tesseraai.io"
}
}
}
}{
"mcpServers": {
"tesseraai": {
"command": "npx",
"args": [
"-y",
"@tessera-llm/[email protected]"
],
"env": {
"TESSERA_API_KEY": "${TESSERA_API_KEY}",
"TESSERA_UPSTREAM_API_BASE_URL": "https://ledger.tesseraai.io"
}
}
}
}extensions:
"tesseraai":
enabled: true
name: "tesseraai"
type: stdio
cmd: "npx"
args:
- "-y"
- "@tessera-llm/[email protected]"
envs:
"TESSERA_API_KEY": "${TESSERA_API_KEY}"
"TESSERA_UPSTREAM_API_BASE_URL": "https://ledger.tesseraai.io"
timeout: 300
Placeholders to fill from your own secret store: ${TESSERA_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 98 resolved packagesdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or laterdeps.resolvable@tessera-llm/[email protected] resolved: 98 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +dns-namespace +website ~liveness-unmeasured ~updated-145d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@tessera-llm/[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
@tessera-llm/mcp-server | npm | 0.1.2 | npx | TESSERA_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.tesseraai/mcp-server",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"tools": [
{
"name": "tessera_list_workloads",
"side_effect": "read"
},
{
"name": "tessera_get_savings_report",
"side_effect": "read"
},
{
"name": "tessera_get_recommendation_queue",
"side_effect": "read"
},
{
"name": "tessera_get_ledger_entries",
"side_effect": "read"
},
{
"name": "tessera_get_quality_snapshot",
"side_effect": "read"
},
{
"name": "tessera_approve_recommendation",
"side_effect": "write"
}
],
"status": "active",
"license": "Apache-2.0",
"keywords": [
"tessera",
"mcp",
"llm",
"cost-optimization",
"ai-cost",
"llm-proxy",
"openai",
"anthropic",
"claude",
"savings",
"audit"
],
"security": {
"scanned_by": [
"tessera-static-scan v0.1"
],
"auth_methods": [
"api_key_env_var"
],
"auth_required": true,
"scanned_by_planned": [
"snyk-agent-scan"
],
"auth_methods_planned": [
"oauth_2.1"
],
"untrusted_content_labeling": "active"
},
"categories": [
"observability",
"cost-optimization",
"ai-infrastructure",
"llm-tooling"
],
"client_compatibility": {
"zed": "supported_via_mcp_remote_bridge",
"cline": "supported",
"goose": "supported_via_http",
"cursor": "supported",
"continue": "supported",
"claude_code": "supported",
"claude_desktop": "supported"
},
"transports_supported": [
"stdio",
"streamable-http"
]
}
},
"title": "Tessera MCP Server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.2",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "@tessera-llm/mcp-server",
"runtimeHint": "npx",
"registryType": "npm",
"environmentVariables": [
{
"name": "TESSERA_API_KEY",
"isSecret": true,
"isRequired": true,
"description": "API key in tk_* format. Get one free at https://tesseraai.io/dev."
},
{
"name": "TESSERA_UPSTREAM_API_BASE_URL",
"default": "https://ledger.tesseraai.io",
"description": "Override only for staging or local-dev testing."
}
]
}
],
"repository": {
"url": "https://github.com/tessera-llm/mcp-server",
"source": "github",
"subfolder": "node"
},
"websiteUrl": "https://tesseraai.io/dev",
"description": "MCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations."
}